Training in progress, step 350, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +30 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +45 -0
- last-checkpoint/trainer_state.json +2483 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: SeaLLMs/SeaLLM-7B-v2
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "SeaLLMs/SeaLLM-7B-v2",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 16,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"k_proj",
|
| 25 |
+
"gate_proj",
|
| 26 |
+
"down_proj",
|
| 27 |
+
"o_proj",
|
| 28 |
+
"up_proj",
|
| 29 |
+
"v_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bf172bf6973a2034dc14136d97588ef92925ffd57be06a1a444f63c8598d6c56
|
| 3 |
+
size 167832240
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2a7c759ec551bac4bdf486c5f7382d3baacf9da18526e970a4c1d073903d6965
|
| 3 |
+
size 85723732
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc46ebdf2786cf45a03ecdc2890904fdbf8f1b3e4c6aa053d7e714f2d7a72b2b
|
| 3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bc2fcf641dd69a31d6fab5ed4890ac21ce639a78d972a0f80f557af58981417a
|
| 3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<unk>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
last-checkpoint/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4d88bdadaa2a065aa7c6e18a4b5999ce4c76cec14d9fea882102e7b4931d7ef0
|
| 3 |
+
size 779539
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"additional_special_tokens": [],
|
| 32 |
+
"bos_token": "<s>",
|
| 33 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '</s>'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 34 |
+
"clean_up_tokenization_spaces": false,
|
| 35 |
+
"eos_token": "</s>",
|
| 36 |
+
"legacy": true,
|
| 37 |
+
"model_max_length": 32768,
|
| 38 |
+
"pad_token": "<unk>",
|
| 39 |
+
"padding_side": "right",
|
| 40 |
+
"sp_model_kwargs": {},
|
| 41 |
+
"spaces_between_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 43 |
+
"unk_token": "<unk>",
|
| 44 |
+
"use_default_system_prompt": false
|
| 45 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,2483 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 9.859154929577464,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 350,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.028169014084507043,
|
| 13 |
+
"grad_norm": 18.26426887512207,
|
| 14 |
+
"learning_rate": 4e-05,
|
| 15 |
+
"loss": 5.7076,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.056338028169014086,
|
| 20 |
+
"grad_norm": 19.20064926147461,
|
| 21 |
+
"learning_rate": 8e-05,
|
| 22 |
+
"loss": 5.7639,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.08450704225352113,
|
| 27 |
+
"grad_norm": 13.322253227233887,
|
| 28 |
+
"learning_rate": 0.00012,
|
| 29 |
+
"loss": 4.904,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.11267605633802817,
|
| 34 |
+
"grad_norm": 10.362458229064941,
|
| 35 |
+
"learning_rate": 0.00016,
|
| 36 |
+
"loss": 3.7719,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.14084507042253522,
|
| 41 |
+
"grad_norm": 8.308332443237305,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 2.9896,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.16901408450704225,
|
| 48 |
+
"grad_norm": 9.195550918579102,
|
| 49 |
+
"learning_rate": 0.0001994202898550725,
|
| 50 |
+
"loss": 2.3745,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.19718309859154928,
|
| 55 |
+
"grad_norm": 9.130915641784668,
|
| 56 |
+
"learning_rate": 0.00019884057971014495,
|
| 57 |
+
"loss": 2.0686,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.22535211267605634,
|
| 62 |
+
"grad_norm": 8.615273475646973,
|
| 63 |
+
"learning_rate": 0.0001982608695652174,
|
| 64 |
+
"loss": 1.9511,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.2535211267605634,
|
| 69 |
+
"grad_norm": 3.295137405395508,
|
| 70 |
+
"learning_rate": 0.00019768115942028986,
|
| 71 |
+
"loss": 1.4719,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.28169014084507044,
|
| 76 |
+
"grad_norm": 3.6278791427612305,
|
| 77 |
+
"learning_rate": 0.00019710144927536234,
|
| 78 |
+
"loss": 1.7835,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.30985915492957744,
|
| 83 |
+
"grad_norm": 3.04559326171875,
|
| 84 |
+
"learning_rate": 0.0001965217391304348,
|
| 85 |
+
"loss": 1.2366,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.3380281690140845,
|
| 90 |
+
"grad_norm": 3.9383015632629395,
|
| 91 |
+
"learning_rate": 0.00019594202898550727,
|
| 92 |
+
"loss": 1.5097,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.36619718309859156,
|
| 97 |
+
"grad_norm": 4.074126720428467,
|
| 98 |
+
"learning_rate": 0.00019536231884057973,
|
| 99 |
+
"loss": 1.4641,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.39436619718309857,
|
| 104 |
+
"grad_norm": 2.5711724758148193,
|
| 105 |
+
"learning_rate": 0.00019478260869565218,
|
| 106 |
+
"loss": 1.6363,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.4225352112676056,
|
| 111 |
+
"grad_norm": 2.6278562545776367,
|
| 112 |
+
"learning_rate": 0.00019420289855072464,
|
| 113 |
+
"loss": 1.5333,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.4507042253521127,
|
| 118 |
+
"grad_norm": 2.8316071033477783,
|
| 119 |
+
"learning_rate": 0.00019362318840579712,
|
| 120 |
+
"loss": 1.2629,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.4788732394366197,
|
| 125 |
+
"grad_norm": 2.4269802570343018,
|
| 126 |
+
"learning_rate": 0.00019304347826086958,
|
| 127 |
+
"loss": 1.4781,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.5070422535211268,
|
| 132 |
+
"grad_norm": 2.2945990562438965,
|
| 133 |
+
"learning_rate": 0.00019246376811594206,
|
| 134 |
+
"loss": 1.2979,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.5352112676056338,
|
| 139 |
+
"grad_norm": 2.6944477558135986,
|
| 140 |
+
"learning_rate": 0.00019188405797101448,
|
| 141 |
+
"loss": 1.1231,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.5633802816901409,
|
| 146 |
+
"grad_norm": 2.3378827571868896,
|
| 147 |
+
"learning_rate": 0.00019130434782608697,
|
| 148 |
+
"loss": 1.2443,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.5915492957746479,
|
| 153 |
+
"grad_norm": 2.727800130844116,
|
| 154 |
+
"learning_rate": 0.00019072463768115942,
|
| 155 |
+
"loss": 1.6061,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.6197183098591549,
|
| 160 |
+
"grad_norm": 2.4651613235473633,
|
| 161 |
+
"learning_rate": 0.0001901449275362319,
|
| 162 |
+
"loss": 1.3757,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.647887323943662,
|
| 167 |
+
"grad_norm": 2.3680126667022705,
|
| 168 |
+
"learning_rate": 0.00018956521739130436,
|
| 169 |
+
"loss": 1.2873,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.676056338028169,
|
| 174 |
+
"grad_norm": 2.4256627559661865,
|
| 175 |
+
"learning_rate": 0.0001889855072463768,
|
| 176 |
+
"loss": 1.1414,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.704225352112676,
|
| 181 |
+
"grad_norm": 2.653696298599243,
|
| 182 |
+
"learning_rate": 0.00018840579710144927,
|
| 183 |
+
"loss": 1.6514,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.7323943661971831,
|
| 188 |
+
"grad_norm": 2.4072084426879883,
|
| 189 |
+
"learning_rate": 0.00018782608695652175,
|
| 190 |
+
"loss": 1.3724,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.7605633802816901,
|
| 195 |
+
"grad_norm": 2.5725908279418945,
|
| 196 |
+
"learning_rate": 0.0001872463768115942,
|
| 197 |
+
"loss": 1.1774,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.7887323943661971,
|
| 202 |
+
"grad_norm": 2.2624995708465576,
|
| 203 |
+
"learning_rate": 0.0001866666666666667,
|
| 204 |
+
"loss": 1.2234,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.8169014084507042,
|
| 209 |
+
"grad_norm": 2.230581760406494,
|
| 210 |
+
"learning_rate": 0.00018608695652173914,
|
| 211 |
+
"loss": 1.3707,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.8450704225352113,
|
| 216 |
+
"grad_norm": 2.5619113445281982,
|
| 217 |
+
"learning_rate": 0.0001855072463768116,
|
| 218 |
+
"loss": 1.272,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.8732394366197183,
|
| 223 |
+
"grad_norm": 2.3400378227233887,
|
| 224 |
+
"learning_rate": 0.00018492753623188405,
|
| 225 |
+
"loss": 1.0258,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.9014084507042254,
|
| 230 |
+
"grad_norm": 2.7504708766937256,
|
| 231 |
+
"learning_rate": 0.00018434782608695653,
|
| 232 |
+
"loss": 1.4141,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.9295774647887324,
|
| 237 |
+
"grad_norm": 2.6030960083007812,
|
| 238 |
+
"learning_rate": 0.000183768115942029,
|
| 239 |
+
"loss": 1.3806,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.9577464788732394,
|
| 244 |
+
"grad_norm": 2.635822296142578,
|
| 245 |
+
"learning_rate": 0.00018318840579710147,
|
| 246 |
+
"loss": 1.31,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.9859154929577465,
|
| 251 |
+
"grad_norm": 2.3933463096618652,
|
| 252 |
+
"learning_rate": 0.00018260869565217392,
|
| 253 |
+
"loss": 1.0937,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.0140845070422535,
|
| 258 |
+
"grad_norm": 2.880826234817505,
|
| 259 |
+
"learning_rate": 0.00018202898550724638,
|
| 260 |
+
"loss": 1.6258,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.0422535211267605,
|
| 265 |
+
"grad_norm": 2.2107865810394287,
|
| 266 |
+
"learning_rate": 0.00018144927536231886,
|
| 267 |
+
"loss": 0.958,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.0704225352112675,
|
| 272 |
+
"grad_norm": 1.3550176620483398,
|
| 273 |
+
"learning_rate": 0.00018086956521739132,
|
| 274 |
+
"loss": 0.5824,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.0985915492957747,
|
| 279 |
+
"grad_norm": 1.856489896774292,
|
| 280 |
+
"learning_rate": 0.0001802898550724638,
|
| 281 |
+
"loss": 0.9373,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.1267605633802817,
|
| 286 |
+
"grad_norm": 1.8255795240402222,
|
| 287 |
+
"learning_rate": 0.00017971014492753625,
|
| 288 |
+
"loss": 0.7876,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.1549295774647887,
|
| 293 |
+
"grad_norm": 1.7675448656082153,
|
| 294 |
+
"learning_rate": 0.0001791304347826087,
|
| 295 |
+
"loss": 0.7027,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.1830985915492958,
|
| 300 |
+
"grad_norm": 2.333728551864624,
|
| 301 |
+
"learning_rate": 0.00017855072463768116,
|
| 302 |
+
"loss": 1.119,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.2112676056338028,
|
| 307 |
+
"grad_norm": 2.0026113986968994,
|
| 308 |
+
"learning_rate": 0.00017797101449275364,
|
| 309 |
+
"loss": 0.8088,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.2394366197183098,
|
| 314 |
+
"grad_norm": 1.6994209289550781,
|
| 315 |
+
"learning_rate": 0.0001773913043478261,
|
| 316 |
+
"loss": 0.7073,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.267605633802817,
|
| 321 |
+
"grad_norm": 2.2109768390655518,
|
| 322 |
+
"learning_rate": 0.00017681159420289858,
|
| 323 |
+
"loss": 0.9982,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.295774647887324,
|
| 328 |
+
"grad_norm": 1.9330918788909912,
|
| 329 |
+
"learning_rate": 0.000176231884057971,
|
| 330 |
+
"loss": 0.7653,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.323943661971831,
|
| 335 |
+
"grad_norm": 2.843604564666748,
|
| 336 |
+
"learning_rate": 0.0001756521739130435,
|
| 337 |
+
"loss": 1.1013,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.352112676056338,
|
| 342 |
+
"grad_norm": 2.02856183052063,
|
| 343 |
+
"learning_rate": 0.00017507246376811594,
|
| 344 |
+
"loss": 0.7175,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.380281690140845,
|
| 349 |
+
"grad_norm": 2.349083423614502,
|
| 350 |
+
"learning_rate": 0.00017449275362318843,
|
| 351 |
+
"loss": 0.921,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.408450704225352,
|
| 356 |
+
"grad_norm": 1.8141676187515259,
|
| 357 |
+
"learning_rate": 0.00017391304347826088,
|
| 358 |
+
"loss": 0.5639,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.436619718309859,
|
| 363 |
+
"grad_norm": 2.422990560531616,
|
| 364 |
+
"learning_rate": 0.00017333333333333334,
|
| 365 |
+
"loss": 0.9172,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.4647887323943662,
|
| 370 |
+
"grad_norm": 1.9539706707000732,
|
| 371 |
+
"learning_rate": 0.0001727536231884058,
|
| 372 |
+
"loss": 0.7978,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.4929577464788732,
|
| 377 |
+
"grad_norm": 2.332096576690674,
|
| 378 |
+
"learning_rate": 0.00017217391304347827,
|
| 379 |
+
"loss": 0.8687,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.5211267605633803,
|
| 384 |
+
"grad_norm": 2.6115736961364746,
|
| 385 |
+
"learning_rate": 0.00017159420289855073,
|
| 386 |
+
"loss": 1.0431,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.5492957746478875,
|
| 391 |
+
"grad_norm": 2.3623340129852295,
|
| 392 |
+
"learning_rate": 0.0001710144927536232,
|
| 393 |
+
"loss": 0.9269,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.5774647887323945,
|
| 398 |
+
"grad_norm": 2.174520492553711,
|
| 399 |
+
"learning_rate": 0.00017043478260869566,
|
| 400 |
+
"loss": 0.7563,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.6056338028169015,
|
| 405 |
+
"grad_norm": 2.1699142456054688,
|
| 406 |
+
"learning_rate": 0.00016985507246376812,
|
| 407 |
+
"loss": 0.8064,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.6338028169014085,
|
| 412 |
+
"grad_norm": 2.1111481189727783,
|
| 413 |
+
"learning_rate": 0.00016927536231884057,
|
| 414 |
+
"loss": 0.8878,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 1.6619718309859155,
|
| 419 |
+
"grad_norm": 2.082953929901123,
|
| 420 |
+
"learning_rate": 0.00016869565217391306,
|
| 421 |
+
"loss": 0.7846,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.6901408450704225,
|
| 426 |
+
"grad_norm": 2.462533473968506,
|
| 427 |
+
"learning_rate": 0.0001681159420289855,
|
| 428 |
+
"loss": 0.8451,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.7183098591549295,
|
| 433 |
+
"grad_norm": 2.3298442363739014,
|
| 434 |
+
"learning_rate": 0.000167536231884058,
|
| 435 |
+
"loss": 0.894,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 1.7464788732394365,
|
| 440 |
+
"grad_norm": 2.4686286449432373,
|
| 441 |
+
"learning_rate": 0.00016695652173913042,
|
| 442 |
+
"loss": 1.0312,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.7746478873239435,
|
| 447 |
+
"grad_norm": 1.8452609777450562,
|
| 448 |
+
"learning_rate": 0.0001663768115942029,
|
| 449 |
+
"loss": 0.6385,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.8028169014084507,
|
| 454 |
+
"grad_norm": 2.4162490367889404,
|
| 455 |
+
"learning_rate": 0.00016579710144927536,
|
| 456 |
+
"loss": 0.7737,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.8309859154929577,
|
| 461 |
+
"grad_norm": 1.897931456565857,
|
| 462 |
+
"learning_rate": 0.00016521739130434784,
|
| 463 |
+
"loss": 0.5554,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 1.8591549295774648,
|
| 468 |
+
"grad_norm": 2.9711966514587402,
|
| 469 |
+
"learning_rate": 0.0001646376811594203,
|
| 470 |
+
"loss": 1.2044,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.887323943661972,
|
| 475 |
+
"grad_norm": 1.61070716381073,
|
| 476 |
+
"learning_rate": 0.00016405797101449275,
|
| 477 |
+
"loss": 0.5915,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 1.915492957746479,
|
| 482 |
+
"grad_norm": 2.418779134750366,
|
| 483 |
+
"learning_rate": 0.00016347826086956523,
|
| 484 |
+
"loss": 0.9521,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 1.943661971830986,
|
| 489 |
+
"grad_norm": 2.183217763900757,
|
| 490 |
+
"learning_rate": 0.00016289855072463768,
|
| 491 |
+
"loss": 0.5493,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 1.971830985915493,
|
| 496 |
+
"grad_norm": 2.1166794300079346,
|
| 497 |
+
"learning_rate": 0.00016231884057971017,
|
| 498 |
+
"loss": 0.9667,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 2.0,
|
| 503 |
+
"grad_norm": 4.613822937011719,
|
| 504 |
+
"learning_rate": 0.00016173913043478262,
|
| 505 |
+
"loss": 1.258,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.028169014084507,
|
| 510 |
+
"grad_norm": 2.155040979385376,
|
| 511 |
+
"learning_rate": 0.00016115942028985508,
|
| 512 |
+
"loss": 0.4729,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 2.056338028169014,
|
| 517 |
+
"grad_norm": 1.8183236122131348,
|
| 518 |
+
"learning_rate": 0.00016057971014492753,
|
| 519 |
+
"loss": 0.5619,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 2.084507042253521,
|
| 524 |
+
"grad_norm": 1.7246202230453491,
|
| 525 |
+
"learning_rate": 0.00016,
|
| 526 |
+
"loss": 0.4863,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.112676056338028,
|
| 531 |
+
"grad_norm": 1.6955788135528564,
|
| 532 |
+
"learning_rate": 0.00015942028985507247,
|
| 533 |
+
"loss": 0.4795,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 2.140845070422535,
|
| 538 |
+
"grad_norm": 1.7865077257156372,
|
| 539 |
+
"learning_rate": 0.00015884057971014495,
|
| 540 |
+
"loss": 0.4456,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 2.169014084507042,
|
| 545 |
+
"grad_norm": 2.7063751220703125,
|
| 546 |
+
"learning_rate": 0.0001582608695652174,
|
| 547 |
+
"loss": 0.5051,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 2.1971830985915495,
|
| 552 |
+
"grad_norm": 2.8297810554504395,
|
| 553 |
+
"learning_rate": 0.00015768115942028986,
|
| 554 |
+
"loss": 0.4452,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 2.2253521126760565,
|
| 559 |
+
"grad_norm": 2.2864151000976562,
|
| 560 |
+
"learning_rate": 0.00015710144927536231,
|
| 561 |
+
"loss": 0.4033,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 2.2535211267605635,
|
| 566 |
+
"grad_norm": 1.8366403579711914,
|
| 567 |
+
"learning_rate": 0.0001565217391304348,
|
| 568 |
+
"loss": 0.4385,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 2.2816901408450705,
|
| 573 |
+
"grad_norm": 1.594137191772461,
|
| 574 |
+
"learning_rate": 0.00015594202898550725,
|
| 575 |
+
"loss": 0.322,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 2.3098591549295775,
|
| 580 |
+
"grad_norm": 1.8651509284973145,
|
| 581 |
+
"learning_rate": 0.00015536231884057973,
|
| 582 |
+
"loss": 0.364,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 2.3380281690140845,
|
| 587 |
+
"grad_norm": 1.6906371116638184,
|
| 588 |
+
"learning_rate": 0.0001547826086956522,
|
| 589 |
+
"loss": 0.4208,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.3661971830985915,
|
| 594 |
+
"grad_norm": 1.4687148332595825,
|
| 595 |
+
"learning_rate": 0.00015420289855072464,
|
| 596 |
+
"loss": 0.3389,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 2.3943661971830985,
|
| 601 |
+
"grad_norm": 2.2077207565307617,
|
| 602 |
+
"learning_rate": 0.0001536231884057971,
|
| 603 |
+
"loss": 0.3776,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 2.4225352112676055,
|
| 608 |
+
"grad_norm": 2.1862735748291016,
|
| 609 |
+
"learning_rate": 0.00015304347826086958,
|
| 610 |
+
"loss": 0.4292,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 2.4507042253521125,
|
| 615 |
+
"grad_norm": 1.9205989837646484,
|
| 616 |
+
"learning_rate": 0.00015246376811594203,
|
| 617 |
+
"loss": 0.4132,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 2.4788732394366195,
|
| 622 |
+
"grad_norm": 1.4856300354003906,
|
| 623 |
+
"learning_rate": 0.00015188405797101452,
|
| 624 |
+
"loss": 0.3127,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 2.507042253521127,
|
| 629 |
+
"grad_norm": 2.149855375289917,
|
| 630 |
+
"learning_rate": 0.00015130434782608694,
|
| 631 |
+
"loss": 0.4431,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.535211267605634,
|
| 636 |
+
"grad_norm": 2.0529568195343018,
|
| 637 |
+
"learning_rate": 0.00015072463768115943,
|
| 638 |
+
"loss": 0.4479,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.563380281690141,
|
| 643 |
+
"grad_norm": 1.7333368062973022,
|
| 644 |
+
"learning_rate": 0.00015014492753623188,
|
| 645 |
+
"loss": 0.4043,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 2.591549295774648,
|
| 650 |
+
"grad_norm": 1.9659757614135742,
|
| 651 |
+
"learning_rate": 0.00014956521739130436,
|
| 652 |
+
"loss": 0.403,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 2.619718309859155,
|
| 657 |
+
"grad_norm": 2.054248094558716,
|
| 658 |
+
"learning_rate": 0.00014898550724637682,
|
| 659 |
+
"loss": 0.2796,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 2.647887323943662,
|
| 664 |
+
"grad_norm": 1.9619348049163818,
|
| 665 |
+
"learning_rate": 0.00014840579710144927,
|
| 666 |
+
"loss": 0.4469,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 2.676056338028169,
|
| 671 |
+
"grad_norm": 2.121868848800659,
|
| 672 |
+
"learning_rate": 0.00014782608695652173,
|
| 673 |
+
"loss": 0.4537,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 2.704225352112676,
|
| 678 |
+
"grad_norm": 2.68361234664917,
|
| 679 |
+
"learning_rate": 0.0001472463768115942,
|
| 680 |
+
"loss": 0.3995,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 2.732394366197183,
|
| 685 |
+
"grad_norm": 1.9103405475616455,
|
| 686 |
+
"learning_rate": 0.00014666666666666666,
|
| 687 |
+
"loss": 0.4266,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 2.76056338028169,
|
| 692 |
+
"grad_norm": 1.9650520086288452,
|
| 693 |
+
"learning_rate": 0.00014608695652173914,
|
| 694 |
+
"loss": 0.339,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 2.788732394366197,
|
| 699 |
+
"grad_norm": 2.177905797958374,
|
| 700 |
+
"learning_rate": 0.0001455072463768116,
|
| 701 |
+
"loss": 0.588,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 2.816901408450704,
|
| 706 |
+
"grad_norm": 2.1732492446899414,
|
| 707 |
+
"learning_rate": 0.00014492753623188405,
|
| 708 |
+
"loss": 0.4923,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 2.845070422535211,
|
| 713 |
+
"grad_norm": 1.940091609954834,
|
| 714 |
+
"learning_rate": 0.00014434782608695654,
|
| 715 |
+
"loss": 0.3654,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 2.873239436619718,
|
| 720 |
+
"grad_norm": 2.155087471008301,
|
| 721 |
+
"learning_rate": 0.000143768115942029,
|
| 722 |
+
"loss": 0.5353,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 2.9014084507042255,
|
| 727 |
+
"grad_norm": 1.2035654783248901,
|
| 728 |
+
"learning_rate": 0.00014318840579710147,
|
| 729 |
+
"loss": 0.2382,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 2.9295774647887325,
|
| 734 |
+
"grad_norm": 2.3023459911346436,
|
| 735 |
+
"learning_rate": 0.00014260869565217393,
|
| 736 |
+
"loss": 0.5342,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 2.9577464788732395,
|
| 741 |
+
"grad_norm": 1.5280723571777344,
|
| 742 |
+
"learning_rate": 0.00014202898550724638,
|
| 743 |
+
"loss": 0.3865,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 2.9859154929577465,
|
| 748 |
+
"grad_norm": 1.998836874961853,
|
| 749 |
+
"learning_rate": 0.00014144927536231884,
|
| 750 |
+
"loss": 0.4152,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 3.0140845070422535,
|
| 755 |
+
"grad_norm": 3.268983840942383,
|
| 756 |
+
"learning_rate": 0.00014086956521739132,
|
| 757 |
+
"loss": 0.6157,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 3.0422535211267605,
|
| 762 |
+
"grad_norm": 1.4291588068008423,
|
| 763 |
+
"learning_rate": 0.00014028985507246377,
|
| 764 |
+
"loss": 0.2366,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 3.0704225352112675,
|
| 769 |
+
"grad_norm": 1.8579354286193848,
|
| 770 |
+
"learning_rate": 0.00013971014492753626,
|
| 771 |
+
"loss": 0.2278,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 3.0985915492957745,
|
| 776 |
+
"grad_norm": 1.2863688468933105,
|
| 777 |
+
"learning_rate": 0.0001391304347826087,
|
| 778 |
+
"loss": 0.2266,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 3.1267605633802815,
|
| 783 |
+
"grad_norm": 1.3138303756713867,
|
| 784 |
+
"learning_rate": 0.00013855072463768117,
|
| 785 |
+
"loss": 0.242,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 3.1549295774647885,
|
| 790 |
+
"grad_norm": 1.8443946838378906,
|
| 791 |
+
"learning_rate": 0.00013797101449275362,
|
| 792 |
+
"loss": 0.1894,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 3.183098591549296,
|
| 797 |
+
"grad_norm": 1.1622567176818848,
|
| 798 |
+
"learning_rate": 0.0001373913043478261,
|
| 799 |
+
"loss": 0.1144,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 3.211267605633803,
|
| 804 |
+
"grad_norm": 2.6402649879455566,
|
| 805 |
+
"learning_rate": 0.00013681159420289856,
|
| 806 |
+
"loss": 0.198,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 3.23943661971831,
|
| 811 |
+
"grad_norm": 2.0628345012664795,
|
| 812 |
+
"learning_rate": 0.00013623188405797104,
|
| 813 |
+
"loss": 0.1706,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 3.267605633802817,
|
| 818 |
+
"grad_norm": 3.0576295852661133,
|
| 819 |
+
"learning_rate": 0.00013565217391304347,
|
| 820 |
+
"loss": 0.2371,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 3.295774647887324,
|
| 825 |
+
"grad_norm": 2.5131633281707764,
|
| 826 |
+
"learning_rate": 0.00013507246376811595,
|
| 827 |
+
"loss": 0.2265,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 3.323943661971831,
|
| 832 |
+
"grad_norm": 2.239884376525879,
|
| 833 |
+
"learning_rate": 0.0001344927536231884,
|
| 834 |
+
"loss": 0.2445,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 3.352112676056338,
|
| 839 |
+
"grad_norm": 2.340616464614868,
|
| 840 |
+
"learning_rate": 0.00013391304347826088,
|
| 841 |
+
"loss": 0.1914,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 3.380281690140845,
|
| 846 |
+
"grad_norm": 1.7940949201583862,
|
| 847 |
+
"learning_rate": 0.00013333333333333334,
|
| 848 |
+
"loss": 0.1557,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 3.408450704225352,
|
| 853 |
+
"grad_norm": 2.0159881114959717,
|
| 854 |
+
"learning_rate": 0.0001327536231884058,
|
| 855 |
+
"loss": 0.2513,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 3.436619718309859,
|
| 860 |
+
"grad_norm": 1.3492356538772583,
|
| 861 |
+
"learning_rate": 0.00013217391304347825,
|
| 862 |
+
"loss": 0.1661,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 3.464788732394366,
|
| 867 |
+
"grad_norm": 1.8033004999160767,
|
| 868 |
+
"learning_rate": 0.00013159420289855073,
|
| 869 |
+
"loss": 0.2223,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 3.492957746478873,
|
| 874 |
+
"grad_norm": 1.4548789262771606,
|
| 875 |
+
"learning_rate": 0.00013101449275362319,
|
| 876 |
+
"loss": 0.1903,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 3.52112676056338,
|
| 881 |
+
"grad_norm": 1.4833884239196777,
|
| 882 |
+
"learning_rate": 0.00013043478260869567,
|
| 883 |
+
"loss": 0.195,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 3.5492957746478875,
|
| 888 |
+
"grad_norm": 1.8880611658096313,
|
| 889 |
+
"learning_rate": 0.00012985507246376812,
|
| 890 |
+
"loss": 0.2469,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 3.5774647887323945,
|
| 895 |
+
"grad_norm": 1.178464651107788,
|
| 896 |
+
"learning_rate": 0.00012927536231884058,
|
| 897 |
+
"loss": 0.1383,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 3.6056338028169015,
|
| 902 |
+
"grad_norm": 2.2613043785095215,
|
| 903 |
+
"learning_rate": 0.00012869565217391303,
|
| 904 |
+
"loss": 0.3269,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 3.6338028169014085,
|
| 909 |
+
"grad_norm": 1.2383980751037598,
|
| 910 |
+
"learning_rate": 0.00012811594202898551,
|
| 911 |
+
"loss": 0.1687,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 3.6619718309859155,
|
| 916 |
+
"grad_norm": 1.4821505546569824,
|
| 917 |
+
"learning_rate": 0.00012753623188405797,
|
| 918 |
+
"loss": 0.1896,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 3.6901408450704225,
|
| 923 |
+
"grad_norm": 1.774398922920227,
|
| 924 |
+
"learning_rate": 0.00012695652173913045,
|
| 925 |
+
"loss": 0.2407,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 3.7183098591549295,
|
| 930 |
+
"grad_norm": 1.3856964111328125,
|
| 931 |
+
"learning_rate": 0.0001263768115942029,
|
| 932 |
+
"loss": 0.1802,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 3.7464788732394365,
|
| 937 |
+
"grad_norm": 0.920718789100647,
|
| 938 |
+
"learning_rate": 0.00012579710144927536,
|
| 939 |
+
"loss": 0.143,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 3.7746478873239435,
|
| 944 |
+
"grad_norm": 1.9466533660888672,
|
| 945 |
+
"learning_rate": 0.00012521739130434784,
|
| 946 |
+
"loss": 0.2638,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 3.802816901408451,
|
| 951 |
+
"grad_norm": 1.7287187576293945,
|
| 952 |
+
"learning_rate": 0.0001246376811594203,
|
| 953 |
+
"loss": 0.2487,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 3.830985915492958,
|
| 958 |
+
"grad_norm": 1.235987901687622,
|
| 959 |
+
"learning_rate": 0.00012405797101449278,
|
| 960 |
+
"loss": 0.2037,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 3.859154929577465,
|
| 965 |
+
"grad_norm": 1.7427409887313843,
|
| 966 |
+
"learning_rate": 0.00012347826086956523,
|
| 967 |
+
"loss": 0.2445,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 3.887323943661972,
|
| 972 |
+
"grad_norm": 1.1789747476577759,
|
| 973 |
+
"learning_rate": 0.0001228985507246377,
|
| 974 |
+
"loss": 0.2202,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 3.915492957746479,
|
| 979 |
+
"grad_norm": 1.3919823169708252,
|
| 980 |
+
"learning_rate": 0.00012231884057971014,
|
| 981 |
+
"loss": 0.2519,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 3.943661971830986,
|
| 986 |
+
"grad_norm": 1.4686983823776245,
|
| 987 |
+
"learning_rate": 0.00012173913043478263,
|
| 988 |
+
"loss": 0.2395,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 3.971830985915493,
|
| 993 |
+
"grad_norm": 1.1379711627960205,
|
| 994 |
+
"learning_rate": 0.00012115942028985508,
|
| 995 |
+
"loss": 0.212,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 4.0,
|
| 1000 |
+
"grad_norm": 1.841476559638977,
|
| 1001 |
+
"learning_rate": 0.00012057971014492755,
|
| 1002 |
+
"loss": 0.3262,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 4.028169014084507,
|
| 1007 |
+
"grad_norm": 0.9476191997528076,
|
| 1008 |
+
"learning_rate": 0.00012,
|
| 1009 |
+
"loss": 0.1464,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 4.056338028169014,
|
| 1014 |
+
"grad_norm": 0.9231192469596863,
|
| 1015 |
+
"learning_rate": 0.00011942028985507247,
|
| 1016 |
+
"loss": 0.1152,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 4.084507042253521,
|
| 1021 |
+
"grad_norm": 0.7287465333938599,
|
| 1022 |
+
"learning_rate": 0.00011884057971014493,
|
| 1023 |
+
"loss": 0.1313,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 4.112676056338028,
|
| 1028 |
+
"grad_norm": 1.2717286348342896,
|
| 1029 |
+
"learning_rate": 0.00011826086956521741,
|
| 1030 |
+
"loss": 0.1454,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 4.140845070422535,
|
| 1035 |
+
"grad_norm": 1.10673189163208,
|
| 1036 |
+
"learning_rate": 0.00011768115942028985,
|
| 1037 |
+
"loss": 0.1073,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 4.169014084507042,
|
| 1042 |
+
"grad_norm": 1.4584083557128906,
|
| 1043 |
+
"learning_rate": 0.00011710144927536233,
|
| 1044 |
+
"loss": 0.1313,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 4.197183098591549,
|
| 1049 |
+
"grad_norm": 1.1193785667419434,
|
| 1050 |
+
"learning_rate": 0.00011652173913043479,
|
| 1051 |
+
"loss": 0.1288,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 4.225352112676056,
|
| 1056 |
+
"grad_norm": 0.7603724002838135,
|
| 1057 |
+
"learning_rate": 0.00011594202898550725,
|
| 1058 |
+
"loss": 0.1457,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 4.253521126760563,
|
| 1063 |
+
"grad_norm": 1.2514569759368896,
|
| 1064 |
+
"learning_rate": 0.00011536231884057971,
|
| 1065 |
+
"loss": 0.1469,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 4.28169014084507,
|
| 1070 |
+
"grad_norm": 1.5833827257156372,
|
| 1071 |
+
"learning_rate": 0.00011478260869565218,
|
| 1072 |
+
"loss": 0.1714,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 4.309859154929577,
|
| 1077 |
+
"grad_norm": 1.1072020530700684,
|
| 1078 |
+
"learning_rate": 0.00011420289855072463,
|
| 1079 |
+
"loss": 0.1294,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 4.338028169014084,
|
| 1084 |
+
"grad_norm": 0.8732224702835083,
|
| 1085 |
+
"learning_rate": 0.00011362318840579711,
|
| 1086 |
+
"loss": 0.13,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 4.366197183098592,
|
| 1091 |
+
"grad_norm": 1.239893913269043,
|
| 1092 |
+
"learning_rate": 0.00011304347826086956,
|
| 1093 |
+
"loss": 0.1503,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 4.394366197183099,
|
| 1098 |
+
"grad_norm": 1.4112859964370728,
|
| 1099 |
+
"learning_rate": 0.00011246376811594204,
|
| 1100 |
+
"loss": 0.1148,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 4.422535211267606,
|
| 1105 |
+
"grad_norm": 0.8296442031860352,
|
| 1106 |
+
"learning_rate": 0.00011188405797101449,
|
| 1107 |
+
"loss": 0.1292,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 4.450704225352113,
|
| 1112 |
+
"grad_norm": 0.7520405650138855,
|
| 1113 |
+
"learning_rate": 0.00011130434782608696,
|
| 1114 |
+
"loss": 0.1076,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 4.47887323943662,
|
| 1119 |
+
"grad_norm": 2.0433220863342285,
|
| 1120 |
+
"learning_rate": 0.00011072463768115942,
|
| 1121 |
+
"loss": 0.2012,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 4.507042253521127,
|
| 1126 |
+
"grad_norm": 0.6598207354545593,
|
| 1127 |
+
"learning_rate": 0.00011014492753623188,
|
| 1128 |
+
"loss": 0.1253,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 4.535211267605634,
|
| 1133 |
+
"grad_norm": 0.9300666451454163,
|
| 1134 |
+
"learning_rate": 0.00010956521739130434,
|
| 1135 |
+
"loss": 0.1049,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 4.563380281690141,
|
| 1140 |
+
"grad_norm": 1.3579410314559937,
|
| 1141 |
+
"learning_rate": 0.00010898550724637682,
|
| 1142 |
+
"loss": 0.1256,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 4.591549295774648,
|
| 1147 |
+
"grad_norm": 0.7166134715080261,
|
| 1148 |
+
"learning_rate": 0.00010840579710144929,
|
| 1149 |
+
"loss": 0.1386,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 4.619718309859155,
|
| 1154 |
+
"grad_norm": 0.6903330087661743,
|
| 1155 |
+
"learning_rate": 0.00010782608695652174,
|
| 1156 |
+
"loss": 0.1164,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 4.647887323943662,
|
| 1161 |
+
"grad_norm": 1.264364242553711,
|
| 1162 |
+
"learning_rate": 0.00010724637681159421,
|
| 1163 |
+
"loss": 0.1599,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 4.676056338028169,
|
| 1168 |
+
"grad_norm": 1.0348261594772339,
|
| 1169 |
+
"learning_rate": 0.00010666666666666667,
|
| 1170 |
+
"loss": 0.1418,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 4.704225352112676,
|
| 1175 |
+
"grad_norm": 1.7934157848358154,
|
| 1176 |
+
"learning_rate": 0.00010608695652173915,
|
| 1177 |
+
"loss": 0.1279,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 4.732394366197183,
|
| 1182 |
+
"grad_norm": 0.8036297559738159,
|
| 1183 |
+
"learning_rate": 0.0001055072463768116,
|
| 1184 |
+
"loss": 0.1334,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 4.76056338028169,
|
| 1189 |
+
"grad_norm": 0.9982131719589233,
|
| 1190 |
+
"learning_rate": 0.00010492753623188407,
|
| 1191 |
+
"loss": 0.1413,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 4.788732394366197,
|
| 1196 |
+
"grad_norm": 0.9859140515327454,
|
| 1197 |
+
"learning_rate": 0.00010434782608695653,
|
| 1198 |
+
"loss": 0.1397,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 4.816901408450704,
|
| 1203 |
+
"grad_norm": 1.371955156326294,
|
| 1204 |
+
"learning_rate": 0.000103768115942029,
|
| 1205 |
+
"loss": 0.1529,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 4.845070422535211,
|
| 1210 |
+
"grad_norm": 0.7129777073860168,
|
| 1211 |
+
"learning_rate": 0.00010318840579710145,
|
| 1212 |
+
"loss": 0.107,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 4.873239436619718,
|
| 1217 |
+
"grad_norm": 0.9649717807769775,
|
| 1218 |
+
"learning_rate": 0.00010260869565217393,
|
| 1219 |
+
"loss": 0.1283,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 4.901408450704225,
|
| 1224 |
+
"grad_norm": 1.2425966262817383,
|
| 1225 |
+
"learning_rate": 0.00010202898550724637,
|
| 1226 |
+
"loss": 0.1289,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 4.929577464788732,
|
| 1231 |
+
"grad_norm": 1.234687328338623,
|
| 1232 |
+
"learning_rate": 0.00010144927536231885,
|
| 1233 |
+
"loss": 0.1246,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 4.957746478873239,
|
| 1238 |
+
"grad_norm": 1.1847139596939087,
|
| 1239 |
+
"learning_rate": 0.00010086956521739131,
|
| 1240 |
+
"loss": 0.1252,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 4.985915492957746,
|
| 1245 |
+
"grad_norm": 1.2231552600860596,
|
| 1246 |
+
"learning_rate": 0.00010028985507246378,
|
| 1247 |
+
"loss": 0.1439,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 5.014084507042254,
|
| 1252 |
+
"grad_norm": 0.8797586560249329,
|
| 1253 |
+
"learning_rate": 9.971014492753625e-05,
|
| 1254 |
+
"loss": 0.1877,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 5.042253521126761,
|
| 1259 |
+
"grad_norm": 0.7208201885223389,
|
| 1260 |
+
"learning_rate": 9.91304347826087e-05,
|
| 1261 |
+
"loss": 0.0984,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 5.070422535211268,
|
| 1266 |
+
"grad_norm": 0.9502798318862915,
|
| 1267 |
+
"learning_rate": 9.855072463768117e-05,
|
| 1268 |
+
"loss": 0.1167,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 5.098591549295775,
|
| 1273 |
+
"grad_norm": 0.6877990365028381,
|
| 1274 |
+
"learning_rate": 9.797101449275364e-05,
|
| 1275 |
+
"loss": 0.111,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 5.126760563380282,
|
| 1280 |
+
"grad_norm": 0.39366304874420166,
|
| 1281 |
+
"learning_rate": 9.739130434782609e-05,
|
| 1282 |
+
"loss": 0.1022,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 5.154929577464789,
|
| 1287 |
+
"grad_norm": 1.0934606790542603,
|
| 1288 |
+
"learning_rate": 9.681159420289856e-05,
|
| 1289 |
+
"loss": 0.1009,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 5.183098591549296,
|
| 1294 |
+
"grad_norm": 0.8328653573989868,
|
| 1295 |
+
"learning_rate": 9.623188405797103e-05,
|
| 1296 |
+
"loss": 0.1094,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 5.211267605633803,
|
| 1301 |
+
"grad_norm": 0.6824885010719299,
|
| 1302 |
+
"learning_rate": 9.565217391304348e-05,
|
| 1303 |
+
"loss": 0.0989,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 5.23943661971831,
|
| 1308 |
+
"grad_norm": 0.9229630827903748,
|
| 1309 |
+
"learning_rate": 9.507246376811595e-05,
|
| 1310 |
+
"loss": 0.1148,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 5.267605633802817,
|
| 1315 |
+
"grad_norm": 0.8020225763320923,
|
| 1316 |
+
"learning_rate": 9.44927536231884e-05,
|
| 1317 |
+
"loss": 0.1052,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 5.295774647887324,
|
| 1322 |
+
"grad_norm": 1.0296123027801514,
|
| 1323 |
+
"learning_rate": 9.391304347826087e-05,
|
| 1324 |
+
"loss": 0.1218,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 5.323943661971831,
|
| 1329 |
+
"grad_norm": 1.5386601686477661,
|
| 1330 |
+
"learning_rate": 9.333333333333334e-05,
|
| 1331 |
+
"loss": 0.1036,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 5.352112676056338,
|
| 1336 |
+
"grad_norm": 0.46746376156806946,
|
| 1337 |
+
"learning_rate": 9.27536231884058e-05,
|
| 1338 |
+
"loss": 0.0859,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 5.380281690140845,
|
| 1343 |
+
"grad_norm": 1.4842408895492554,
|
| 1344 |
+
"learning_rate": 9.217391304347827e-05,
|
| 1345 |
+
"loss": 0.1235,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 5.408450704225352,
|
| 1350 |
+
"grad_norm": 0.9068443179130554,
|
| 1351 |
+
"learning_rate": 9.159420289855073e-05,
|
| 1352 |
+
"loss": 0.1442,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 5.436619718309859,
|
| 1357 |
+
"grad_norm": 0.626751184463501,
|
| 1358 |
+
"learning_rate": 9.101449275362319e-05,
|
| 1359 |
+
"loss": 0.0993,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 5.464788732394366,
|
| 1364 |
+
"grad_norm": 0.9748371243476868,
|
| 1365 |
+
"learning_rate": 9.043478260869566e-05,
|
| 1366 |
+
"loss": 0.1424,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 5.492957746478873,
|
| 1371 |
+
"grad_norm": 0.5503637790679932,
|
| 1372 |
+
"learning_rate": 8.985507246376813e-05,
|
| 1373 |
+
"loss": 0.1015,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 5.52112676056338,
|
| 1378 |
+
"grad_norm": 0.703204870223999,
|
| 1379 |
+
"learning_rate": 8.927536231884058e-05,
|
| 1380 |
+
"loss": 0.1113,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 5.549295774647887,
|
| 1385 |
+
"grad_norm": 1.592962622642517,
|
| 1386 |
+
"learning_rate": 8.869565217391305e-05,
|
| 1387 |
+
"loss": 0.1314,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 5.577464788732394,
|
| 1392 |
+
"grad_norm": 0.8270312547683716,
|
| 1393 |
+
"learning_rate": 8.81159420289855e-05,
|
| 1394 |
+
"loss": 0.1228,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 5.605633802816901,
|
| 1399 |
+
"grad_norm": 0.988741397857666,
|
| 1400 |
+
"learning_rate": 8.753623188405797e-05,
|
| 1401 |
+
"loss": 0.112,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 5.633802816901408,
|
| 1406 |
+
"grad_norm": 0.61429762840271,
|
| 1407 |
+
"learning_rate": 8.695652173913044e-05,
|
| 1408 |
+
"loss": 0.0899,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 5.661971830985916,
|
| 1413 |
+
"grad_norm": 0.4802955985069275,
|
| 1414 |
+
"learning_rate": 8.63768115942029e-05,
|
| 1415 |
+
"loss": 0.1187,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 5.690140845070422,
|
| 1420 |
+
"grad_norm": 0.6995961666107178,
|
| 1421 |
+
"learning_rate": 8.579710144927536e-05,
|
| 1422 |
+
"loss": 0.1066,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 5.71830985915493,
|
| 1427 |
+
"grad_norm": 0.8251914381980896,
|
| 1428 |
+
"learning_rate": 8.521739130434783e-05,
|
| 1429 |
+
"loss": 0.112,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 5.746478873239437,
|
| 1434 |
+
"grad_norm": 1.7355352640151978,
|
| 1435 |
+
"learning_rate": 8.463768115942029e-05,
|
| 1436 |
+
"loss": 0.1207,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 5.774647887323944,
|
| 1441 |
+
"grad_norm": 0.9391680359840393,
|
| 1442 |
+
"learning_rate": 8.405797101449276e-05,
|
| 1443 |
+
"loss": 0.1069,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 5.802816901408451,
|
| 1448 |
+
"grad_norm": 0.9766637086868286,
|
| 1449 |
+
"learning_rate": 8.347826086956521e-05,
|
| 1450 |
+
"loss": 0.1066,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 5.830985915492958,
|
| 1455 |
+
"grad_norm": 0.9690068960189819,
|
| 1456 |
+
"learning_rate": 8.289855072463768e-05,
|
| 1457 |
+
"loss": 0.1435,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 5.859154929577465,
|
| 1462 |
+
"grad_norm": 0.386966347694397,
|
| 1463 |
+
"learning_rate": 8.231884057971015e-05,
|
| 1464 |
+
"loss": 0.095,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 5.887323943661972,
|
| 1469 |
+
"grad_norm": 0.7879371047019958,
|
| 1470 |
+
"learning_rate": 8.173913043478262e-05,
|
| 1471 |
+
"loss": 0.11,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 5.915492957746479,
|
| 1476 |
+
"grad_norm": 0.5329781770706177,
|
| 1477 |
+
"learning_rate": 8.115942028985508e-05,
|
| 1478 |
+
"loss": 0.0998,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 5.943661971830986,
|
| 1483 |
+
"grad_norm": 0.6841704845428467,
|
| 1484 |
+
"learning_rate": 8.057971014492754e-05,
|
| 1485 |
+
"loss": 0.1021,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 5.971830985915493,
|
| 1490 |
+
"grad_norm": 0.9750913381576538,
|
| 1491 |
+
"learning_rate": 8e-05,
|
| 1492 |
+
"loss": 0.1216,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 6.0,
|
| 1497 |
+
"grad_norm": 1.3155792951583862,
|
| 1498 |
+
"learning_rate": 7.942028985507247e-05,
|
| 1499 |
+
"loss": 0.1681,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 6.028169014084507,
|
| 1504 |
+
"grad_norm": 0.7855662107467651,
|
| 1505 |
+
"learning_rate": 7.884057971014493e-05,
|
| 1506 |
+
"loss": 0.1228,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 6.056338028169014,
|
| 1511 |
+
"grad_norm": 0.41278666257858276,
|
| 1512 |
+
"learning_rate": 7.82608695652174e-05,
|
| 1513 |
+
"loss": 0.0785,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 6.084507042253521,
|
| 1518 |
+
"grad_norm": 0.348324179649353,
|
| 1519 |
+
"learning_rate": 7.768115942028987e-05,
|
| 1520 |
+
"loss": 0.0699,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 6.112676056338028,
|
| 1525 |
+
"grad_norm": 0.3577228784561157,
|
| 1526 |
+
"learning_rate": 7.710144927536232e-05,
|
| 1527 |
+
"loss": 0.089,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 6.140845070422535,
|
| 1532 |
+
"grad_norm": 0.5542377233505249,
|
| 1533 |
+
"learning_rate": 7.652173913043479e-05,
|
| 1534 |
+
"loss": 0.0715,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 6.169014084507042,
|
| 1539 |
+
"grad_norm": 0.29252180457115173,
|
| 1540 |
+
"learning_rate": 7.594202898550726e-05,
|
| 1541 |
+
"loss": 0.0726,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 6.197183098591549,
|
| 1546 |
+
"grad_norm": 0.6153849363327026,
|
| 1547 |
+
"learning_rate": 7.536231884057971e-05,
|
| 1548 |
+
"loss": 0.0855,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 6.225352112676056,
|
| 1553 |
+
"grad_norm": 1.2325160503387451,
|
| 1554 |
+
"learning_rate": 7.478260869565218e-05,
|
| 1555 |
+
"loss": 0.0913,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 6.253521126760563,
|
| 1560 |
+
"grad_norm": 0.3119257688522339,
|
| 1561 |
+
"learning_rate": 7.420289855072464e-05,
|
| 1562 |
+
"loss": 0.0678,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 6.28169014084507,
|
| 1567 |
+
"grad_norm": 0.39284196496009827,
|
| 1568 |
+
"learning_rate": 7.36231884057971e-05,
|
| 1569 |
+
"loss": 0.097,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 6.309859154929577,
|
| 1574 |
+
"grad_norm": 0.349314421415329,
|
| 1575 |
+
"learning_rate": 7.304347826086957e-05,
|
| 1576 |
+
"loss": 0.0907,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 6.338028169014084,
|
| 1581 |
+
"grad_norm": 0.5441309809684753,
|
| 1582 |
+
"learning_rate": 7.246376811594203e-05,
|
| 1583 |
+
"loss": 0.1002,
|
| 1584 |
+
"step": 225
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 6.366197183098592,
|
| 1588 |
+
"grad_norm": 0.6125432252883911,
|
| 1589 |
+
"learning_rate": 7.18840579710145e-05,
|
| 1590 |
+
"loss": 0.0825,
|
| 1591 |
+
"step": 226
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 6.394366197183099,
|
| 1595 |
+
"grad_norm": 0.39783453941345215,
|
| 1596 |
+
"learning_rate": 7.130434782608696e-05,
|
| 1597 |
+
"loss": 0.083,
|
| 1598 |
+
"step": 227
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 6.422535211267606,
|
| 1602 |
+
"grad_norm": 0.7477374076843262,
|
| 1603 |
+
"learning_rate": 7.072463768115942e-05,
|
| 1604 |
+
"loss": 0.1186,
|
| 1605 |
+
"step": 228
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 6.450704225352113,
|
| 1609 |
+
"grad_norm": 0.6586096286773682,
|
| 1610 |
+
"learning_rate": 7.014492753623189e-05,
|
| 1611 |
+
"loss": 0.1186,
|
| 1612 |
+
"step": 229
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 6.47887323943662,
|
| 1616 |
+
"grad_norm": 0.35667774081230164,
|
| 1617 |
+
"learning_rate": 6.956521739130436e-05,
|
| 1618 |
+
"loss": 0.0711,
|
| 1619 |
+
"step": 230
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 6.507042253521127,
|
| 1623 |
+
"grad_norm": 0.39207249879837036,
|
| 1624 |
+
"learning_rate": 6.898550724637681e-05,
|
| 1625 |
+
"loss": 0.0895,
|
| 1626 |
+
"step": 231
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 6.535211267605634,
|
| 1630 |
+
"grad_norm": 0.5106720924377441,
|
| 1631 |
+
"learning_rate": 6.840579710144928e-05,
|
| 1632 |
+
"loss": 0.1057,
|
| 1633 |
+
"step": 232
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 6.563380281690141,
|
| 1637 |
+
"grad_norm": 0.47290724515914917,
|
| 1638 |
+
"learning_rate": 6.782608695652173e-05,
|
| 1639 |
+
"loss": 0.0793,
|
| 1640 |
+
"step": 233
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 6.591549295774648,
|
| 1644 |
+
"grad_norm": 1.0429396629333496,
|
| 1645 |
+
"learning_rate": 6.72463768115942e-05,
|
| 1646 |
+
"loss": 0.1323,
|
| 1647 |
+
"step": 234
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 6.619718309859155,
|
| 1651 |
+
"grad_norm": 0.35735884308815,
|
| 1652 |
+
"learning_rate": 6.666666666666667e-05,
|
| 1653 |
+
"loss": 0.0852,
|
| 1654 |
+
"step": 235
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 6.647887323943662,
|
| 1658 |
+
"grad_norm": 0.404844731092453,
|
| 1659 |
+
"learning_rate": 6.608695652173912e-05,
|
| 1660 |
+
"loss": 0.099,
|
| 1661 |
+
"step": 236
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 6.676056338028169,
|
| 1665 |
+
"grad_norm": 0.4802186191082001,
|
| 1666 |
+
"learning_rate": 6.550724637681159e-05,
|
| 1667 |
+
"loss": 0.1221,
|
| 1668 |
+
"step": 237
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 6.704225352112676,
|
| 1672 |
+
"grad_norm": 0.4069444537162781,
|
| 1673 |
+
"learning_rate": 6.492753623188406e-05,
|
| 1674 |
+
"loss": 0.082,
|
| 1675 |
+
"step": 238
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 6.732394366197183,
|
| 1679 |
+
"grad_norm": 0.5923482179641724,
|
| 1680 |
+
"learning_rate": 6.434782608695652e-05,
|
| 1681 |
+
"loss": 0.0993,
|
| 1682 |
+
"step": 239
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 6.76056338028169,
|
| 1686 |
+
"grad_norm": 0.37336885929107666,
|
| 1687 |
+
"learning_rate": 6.376811594202898e-05,
|
| 1688 |
+
"loss": 0.0912,
|
| 1689 |
+
"step": 240
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 6.788732394366197,
|
| 1693 |
+
"grad_norm": 1.1978446245193481,
|
| 1694 |
+
"learning_rate": 6.318840579710145e-05,
|
| 1695 |
+
"loss": 0.1193,
|
| 1696 |
+
"step": 241
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 6.816901408450704,
|
| 1700 |
+
"grad_norm": 0.7937697172164917,
|
| 1701 |
+
"learning_rate": 6.260869565217392e-05,
|
| 1702 |
+
"loss": 0.1197,
|
| 1703 |
+
"step": 242
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 6.845070422535211,
|
| 1707 |
+
"grad_norm": 0.9154764413833618,
|
| 1708 |
+
"learning_rate": 6.202898550724639e-05,
|
| 1709 |
+
"loss": 0.1004,
|
| 1710 |
+
"step": 243
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 6.873239436619718,
|
| 1714 |
+
"grad_norm": 0.41640138626098633,
|
| 1715 |
+
"learning_rate": 6.144927536231884e-05,
|
| 1716 |
+
"loss": 0.0947,
|
| 1717 |
+
"step": 244
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 6.901408450704225,
|
| 1721 |
+
"grad_norm": 0.537415087223053,
|
| 1722 |
+
"learning_rate": 6.086956521739131e-05,
|
| 1723 |
+
"loss": 0.108,
|
| 1724 |
+
"step": 245
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 6.929577464788732,
|
| 1728 |
+
"grad_norm": 0.5817936062812805,
|
| 1729 |
+
"learning_rate": 6.0289855072463774e-05,
|
| 1730 |
+
"loss": 0.1293,
|
| 1731 |
+
"step": 246
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 6.957746478873239,
|
| 1735 |
+
"grad_norm": 0.4785958528518677,
|
| 1736 |
+
"learning_rate": 5.9710144927536236e-05,
|
| 1737 |
+
"loss": 0.1181,
|
| 1738 |
+
"step": 247
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 6.985915492957746,
|
| 1742 |
+
"grad_norm": 0.3395734131336212,
|
| 1743 |
+
"learning_rate": 5.9130434782608704e-05,
|
| 1744 |
+
"loss": 0.0912,
|
| 1745 |
+
"step": 248
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 7.014084507042254,
|
| 1749 |
+
"grad_norm": 0.48893436789512634,
|
| 1750 |
+
"learning_rate": 5.8550724637681166e-05,
|
| 1751 |
+
"loss": 0.1141,
|
| 1752 |
+
"step": 249
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 7.042253521126761,
|
| 1756 |
+
"grad_norm": 0.40610766410827637,
|
| 1757 |
+
"learning_rate": 5.797101449275363e-05,
|
| 1758 |
+
"loss": 0.0835,
|
| 1759 |
+
"step": 250
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 7.070422535211268,
|
| 1763 |
+
"grad_norm": 0.6423956751823425,
|
| 1764 |
+
"learning_rate": 5.739130434782609e-05,
|
| 1765 |
+
"loss": 0.0999,
|
| 1766 |
+
"step": 251
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 7.098591549295775,
|
| 1770 |
+
"grad_norm": 0.31068381667137146,
|
| 1771 |
+
"learning_rate": 5.681159420289856e-05,
|
| 1772 |
+
"loss": 0.0824,
|
| 1773 |
+
"step": 252
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 7.126760563380282,
|
| 1777 |
+
"grad_norm": 0.28004106879234314,
|
| 1778 |
+
"learning_rate": 5.623188405797102e-05,
|
| 1779 |
+
"loss": 0.0727,
|
| 1780 |
+
"step": 253
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 7.154929577464789,
|
| 1784 |
+
"grad_norm": 0.6080924272537231,
|
| 1785 |
+
"learning_rate": 5.565217391304348e-05,
|
| 1786 |
+
"loss": 0.0948,
|
| 1787 |
+
"step": 254
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 7.183098591549296,
|
| 1791 |
+
"grad_norm": 0.24369844794273376,
|
| 1792 |
+
"learning_rate": 5.507246376811594e-05,
|
| 1793 |
+
"loss": 0.0748,
|
| 1794 |
+
"step": 255
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 7.211267605633803,
|
| 1798 |
+
"grad_norm": 0.2370910495519638,
|
| 1799 |
+
"learning_rate": 5.449275362318841e-05,
|
| 1800 |
+
"loss": 0.0774,
|
| 1801 |
+
"step": 256
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 7.23943661971831,
|
| 1805 |
+
"grad_norm": 0.3035321831703186,
|
| 1806 |
+
"learning_rate": 5.391304347826087e-05,
|
| 1807 |
+
"loss": 0.0939,
|
| 1808 |
+
"step": 257
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 7.267605633802817,
|
| 1812 |
+
"grad_norm": 1.6121118068695068,
|
| 1813 |
+
"learning_rate": 5.333333333333333e-05,
|
| 1814 |
+
"loss": 0.1274,
|
| 1815 |
+
"step": 258
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 7.295774647887324,
|
| 1819 |
+
"grad_norm": 0.39738741517066956,
|
| 1820 |
+
"learning_rate": 5.27536231884058e-05,
|
| 1821 |
+
"loss": 0.0906,
|
| 1822 |
+
"step": 259
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 7.323943661971831,
|
| 1826 |
+
"grad_norm": 0.2866036891937256,
|
| 1827 |
+
"learning_rate": 5.217391304347826e-05,
|
| 1828 |
+
"loss": 0.0872,
|
| 1829 |
+
"step": 260
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 7.352112676056338,
|
| 1833 |
+
"grad_norm": 0.3162975311279297,
|
| 1834 |
+
"learning_rate": 5.1594202898550725e-05,
|
| 1835 |
+
"loss": 0.0807,
|
| 1836 |
+
"step": 261
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 7.380281690140845,
|
| 1840 |
+
"grad_norm": 0.36320748925209045,
|
| 1841 |
+
"learning_rate": 5.1014492753623186e-05,
|
| 1842 |
+
"loss": 0.0788,
|
| 1843 |
+
"step": 262
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 7.408450704225352,
|
| 1847 |
+
"grad_norm": 0.25478893518447876,
|
| 1848 |
+
"learning_rate": 5.0434782608695655e-05,
|
| 1849 |
+
"loss": 0.0744,
|
| 1850 |
+
"step": 263
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 7.436619718309859,
|
| 1854 |
+
"grad_norm": 0.33801060914993286,
|
| 1855 |
+
"learning_rate": 4.985507246376812e-05,
|
| 1856 |
+
"loss": 0.0771,
|
| 1857 |
+
"step": 264
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 7.464788732394366,
|
| 1861 |
+
"grad_norm": 0.3756599724292755,
|
| 1862 |
+
"learning_rate": 4.9275362318840584e-05,
|
| 1863 |
+
"loss": 0.0849,
|
| 1864 |
+
"step": 265
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 7.492957746478873,
|
| 1868 |
+
"grad_norm": 0.34460532665252686,
|
| 1869 |
+
"learning_rate": 4.8695652173913046e-05,
|
| 1870 |
+
"loss": 0.0865,
|
| 1871 |
+
"step": 266
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 7.52112676056338,
|
| 1875 |
+
"grad_norm": 0.9509629011154175,
|
| 1876 |
+
"learning_rate": 4.8115942028985514e-05,
|
| 1877 |
+
"loss": 0.0999,
|
| 1878 |
+
"step": 267
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 7.549295774647887,
|
| 1882 |
+
"grad_norm": 0.3720993101596832,
|
| 1883 |
+
"learning_rate": 4.7536231884057976e-05,
|
| 1884 |
+
"loss": 0.0933,
|
| 1885 |
+
"step": 268
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 7.577464788732394,
|
| 1889 |
+
"grad_norm": 0.36346685886383057,
|
| 1890 |
+
"learning_rate": 4.695652173913044e-05,
|
| 1891 |
+
"loss": 0.0885,
|
| 1892 |
+
"step": 269
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 7.605633802816901,
|
| 1896 |
+
"grad_norm": 0.40504053235054016,
|
| 1897 |
+
"learning_rate": 4.63768115942029e-05,
|
| 1898 |
+
"loss": 0.0837,
|
| 1899 |
+
"step": 270
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 7.633802816901408,
|
| 1903 |
+
"grad_norm": 0.3620516061782837,
|
| 1904 |
+
"learning_rate": 4.579710144927537e-05,
|
| 1905 |
+
"loss": 0.0759,
|
| 1906 |
+
"step": 271
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 7.661971830985916,
|
| 1910 |
+
"grad_norm": 0.3223201334476471,
|
| 1911 |
+
"learning_rate": 4.521739130434783e-05,
|
| 1912 |
+
"loss": 0.0973,
|
| 1913 |
+
"step": 272
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 7.690140845070422,
|
| 1917 |
+
"grad_norm": 0.38633993268013,
|
| 1918 |
+
"learning_rate": 4.463768115942029e-05,
|
| 1919 |
+
"loss": 0.0866,
|
| 1920 |
+
"step": 273
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 7.71830985915493,
|
| 1924 |
+
"grad_norm": 0.6215636730194092,
|
| 1925 |
+
"learning_rate": 4.405797101449275e-05,
|
| 1926 |
+
"loss": 0.0734,
|
| 1927 |
+
"step": 274
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 7.746478873239437,
|
| 1931 |
+
"grad_norm": 0.3610275387763977,
|
| 1932 |
+
"learning_rate": 4.347826086956522e-05,
|
| 1933 |
+
"loss": 0.0788,
|
| 1934 |
+
"step": 275
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 7.774647887323944,
|
| 1938 |
+
"grad_norm": 0.3838008940219879,
|
| 1939 |
+
"learning_rate": 4.289855072463768e-05,
|
| 1940 |
+
"loss": 0.0744,
|
| 1941 |
+
"step": 276
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 7.802816901408451,
|
| 1945 |
+
"grad_norm": 0.4986268877983093,
|
| 1946 |
+
"learning_rate": 4.2318840579710143e-05,
|
| 1947 |
+
"loss": 0.0959,
|
| 1948 |
+
"step": 277
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 7.830985915492958,
|
| 1952 |
+
"grad_norm": 0.41982346773147583,
|
| 1953 |
+
"learning_rate": 4.1739130434782605e-05,
|
| 1954 |
+
"loss": 0.0953,
|
| 1955 |
+
"step": 278
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 7.859154929577465,
|
| 1959 |
+
"grad_norm": 0.3162330090999603,
|
| 1960 |
+
"learning_rate": 4.115942028985507e-05,
|
| 1961 |
+
"loss": 0.0747,
|
| 1962 |
+
"step": 279
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 7.887323943661972,
|
| 1966 |
+
"grad_norm": 0.3536539673805237,
|
| 1967 |
+
"learning_rate": 4.057971014492754e-05,
|
| 1968 |
+
"loss": 0.081,
|
| 1969 |
+
"step": 280
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 7.915492957746479,
|
| 1973 |
+
"grad_norm": 0.4207094609737396,
|
| 1974 |
+
"learning_rate": 4e-05,
|
| 1975 |
+
"loss": 0.1003,
|
| 1976 |
+
"step": 281
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 7.943661971830986,
|
| 1980 |
+
"grad_norm": 0.3843543529510498,
|
| 1981 |
+
"learning_rate": 3.9420289855072465e-05,
|
| 1982 |
+
"loss": 0.0895,
|
| 1983 |
+
"step": 282
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 7.971830985915493,
|
| 1987 |
+
"grad_norm": 0.4230961799621582,
|
| 1988 |
+
"learning_rate": 3.884057971014493e-05,
|
| 1989 |
+
"loss": 0.0882,
|
| 1990 |
+
"step": 283
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 8.0,
|
| 1994 |
+
"grad_norm": 0.6778374314308167,
|
| 1995 |
+
"learning_rate": 3.8260869565217395e-05,
|
| 1996 |
+
"loss": 0.1021,
|
| 1997 |
+
"step": 284
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 8.028169014084508,
|
| 2001 |
+
"grad_norm": 0.3682805597782135,
|
| 2002 |
+
"learning_rate": 3.7681159420289856e-05,
|
| 2003 |
+
"loss": 0.0873,
|
| 2004 |
+
"step": 285
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 8.056338028169014,
|
| 2008 |
+
"grad_norm": 0.275730162858963,
|
| 2009 |
+
"learning_rate": 3.710144927536232e-05,
|
| 2010 |
+
"loss": 0.0737,
|
| 2011 |
+
"step": 286
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 8.084507042253522,
|
| 2015 |
+
"grad_norm": 0.3079347610473633,
|
| 2016 |
+
"learning_rate": 3.6521739130434786e-05,
|
| 2017 |
+
"loss": 0.0715,
|
| 2018 |
+
"step": 287
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 8.112676056338028,
|
| 2022 |
+
"grad_norm": 0.43261173367500305,
|
| 2023 |
+
"learning_rate": 3.594202898550725e-05,
|
| 2024 |
+
"loss": 0.1011,
|
| 2025 |
+
"step": 288
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 8.140845070422536,
|
| 2029 |
+
"grad_norm": 0.3661632239818573,
|
| 2030 |
+
"learning_rate": 3.536231884057971e-05,
|
| 2031 |
+
"loss": 0.0816,
|
| 2032 |
+
"step": 289
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 8.169014084507042,
|
| 2036 |
+
"grad_norm": 0.3016452491283417,
|
| 2037 |
+
"learning_rate": 3.478260869565218e-05,
|
| 2038 |
+
"loss": 0.0856,
|
| 2039 |
+
"step": 290
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 8.19718309859155,
|
| 2043 |
+
"grad_norm": 0.25653794407844543,
|
| 2044 |
+
"learning_rate": 3.420289855072464e-05,
|
| 2045 |
+
"loss": 0.0697,
|
| 2046 |
+
"step": 291
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 8.225352112676056,
|
| 2050 |
+
"grad_norm": 0.2935764789581299,
|
| 2051 |
+
"learning_rate": 3.36231884057971e-05,
|
| 2052 |
+
"loss": 0.0722,
|
| 2053 |
+
"step": 292
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 8.253521126760564,
|
| 2057 |
+
"grad_norm": 0.2543685734272003,
|
| 2058 |
+
"learning_rate": 3.304347826086956e-05,
|
| 2059 |
+
"loss": 0.0688,
|
| 2060 |
+
"step": 293
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 8.28169014084507,
|
| 2064 |
+
"grad_norm": 0.28131261467933655,
|
| 2065 |
+
"learning_rate": 3.246376811594203e-05,
|
| 2066 |
+
"loss": 0.079,
|
| 2067 |
+
"step": 294
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 8.309859154929578,
|
| 2071 |
+
"grad_norm": 0.2591637969017029,
|
| 2072 |
+
"learning_rate": 3.188405797101449e-05,
|
| 2073 |
+
"loss": 0.0738,
|
| 2074 |
+
"step": 295
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 8.338028169014084,
|
| 2078 |
+
"grad_norm": 0.30973947048187256,
|
| 2079 |
+
"learning_rate": 3.130434782608696e-05,
|
| 2080 |
+
"loss": 0.0781,
|
| 2081 |
+
"step": 296
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 8.366197183098592,
|
| 2085 |
+
"grad_norm": 0.284953236579895,
|
| 2086 |
+
"learning_rate": 3.072463768115942e-05,
|
| 2087 |
+
"loss": 0.0751,
|
| 2088 |
+
"step": 297
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 8.394366197183098,
|
| 2092 |
+
"grad_norm": 0.25440695881843567,
|
| 2093 |
+
"learning_rate": 3.0144927536231887e-05,
|
| 2094 |
+
"loss": 0.0668,
|
| 2095 |
+
"step": 298
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 8.422535211267606,
|
| 2099 |
+
"grad_norm": 0.2847122848033905,
|
| 2100 |
+
"learning_rate": 2.9565217391304352e-05,
|
| 2101 |
+
"loss": 0.0729,
|
| 2102 |
+
"step": 299
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 8.450704225352112,
|
| 2106 |
+
"grad_norm": 0.30424264073371887,
|
| 2107 |
+
"learning_rate": 2.8985507246376814e-05,
|
| 2108 |
+
"loss": 0.0746,
|
| 2109 |
+
"step": 300
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 8.47887323943662,
|
| 2113 |
+
"grad_norm": 0.39387059211730957,
|
| 2114 |
+
"learning_rate": 2.840579710144928e-05,
|
| 2115 |
+
"loss": 0.0998,
|
| 2116 |
+
"step": 301
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 8.507042253521126,
|
| 2120 |
+
"grad_norm": 0.4701506793498993,
|
| 2121 |
+
"learning_rate": 2.782608695652174e-05,
|
| 2122 |
+
"loss": 0.0978,
|
| 2123 |
+
"step": 302
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 8.535211267605634,
|
| 2127 |
+
"grad_norm": 0.23797470331192017,
|
| 2128 |
+
"learning_rate": 2.7246376811594205e-05,
|
| 2129 |
+
"loss": 0.0694,
|
| 2130 |
+
"step": 303
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 8.56338028169014,
|
| 2134 |
+
"grad_norm": 0.23765483498573303,
|
| 2135 |
+
"learning_rate": 2.6666666666666667e-05,
|
| 2136 |
+
"loss": 0.0708,
|
| 2137 |
+
"step": 304
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 8.591549295774648,
|
| 2141 |
+
"grad_norm": 0.3813413083553314,
|
| 2142 |
+
"learning_rate": 2.608695652173913e-05,
|
| 2143 |
+
"loss": 0.0863,
|
| 2144 |
+
"step": 305
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 8.619718309859154,
|
| 2148 |
+
"grad_norm": 0.3502650260925293,
|
| 2149 |
+
"learning_rate": 2.5507246376811593e-05,
|
| 2150 |
+
"loss": 0.0782,
|
| 2151 |
+
"step": 306
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 8.647887323943662,
|
| 2155 |
+
"grad_norm": 0.23887740075588226,
|
| 2156 |
+
"learning_rate": 2.492753623188406e-05,
|
| 2157 |
+
"loss": 0.0591,
|
| 2158 |
+
"step": 307
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 8.676056338028168,
|
| 2162 |
+
"grad_norm": 0.35613349080085754,
|
| 2163 |
+
"learning_rate": 2.4347826086956523e-05,
|
| 2164 |
+
"loss": 0.0796,
|
| 2165 |
+
"step": 308
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 8.704225352112676,
|
| 2169 |
+
"grad_norm": 0.3526308536529541,
|
| 2170 |
+
"learning_rate": 2.3768115942028988e-05,
|
| 2171 |
+
"loss": 0.0773,
|
| 2172 |
+
"step": 309
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 8.732394366197184,
|
| 2176 |
+
"grad_norm": 0.3134404122829437,
|
| 2177 |
+
"learning_rate": 2.318840579710145e-05,
|
| 2178 |
+
"loss": 0.0916,
|
| 2179 |
+
"step": 310
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 8.76056338028169,
|
| 2183 |
+
"grad_norm": 0.37707236409187317,
|
| 2184 |
+
"learning_rate": 2.2608695652173914e-05,
|
| 2185 |
+
"loss": 0.0901,
|
| 2186 |
+
"step": 311
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 8.788732394366198,
|
| 2190 |
+
"grad_norm": 0.2680032253265381,
|
| 2191 |
+
"learning_rate": 2.2028985507246376e-05,
|
| 2192 |
+
"loss": 0.0729,
|
| 2193 |
+
"step": 312
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 8.816901408450704,
|
| 2197 |
+
"grad_norm": 0.28316304087638855,
|
| 2198 |
+
"learning_rate": 2.144927536231884e-05,
|
| 2199 |
+
"loss": 0.0689,
|
| 2200 |
+
"step": 313
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 8.845070422535212,
|
| 2204 |
+
"grad_norm": 0.30179086327552795,
|
| 2205 |
+
"learning_rate": 2.0869565217391303e-05,
|
| 2206 |
+
"loss": 0.0848,
|
| 2207 |
+
"step": 314
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 8.873239436619718,
|
| 2211 |
+
"grad_norm": 0.3024062514305115,
|
| 2212 |
+
"learning_rate": 2.028985507246377e-05,
|
| 2213 |
+
"loss": 0.0781,
|
| 2214 |
+
"step": 315
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 8.901408450704226,
|
| 2218 |
+
"grad_norm": 0.3172338902950287,
|
| 2219 |
+
"learning_rate": 1.9710144927536232e-05,
|
| 2220 |
+
"loss": 0.0758,
|
| 2221 |
+
"step": 316
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 8.929577464788732,
|
| 2225 |
+
"grad_norm": 0.387746661901474,
|
| 2226 |
+
"learning_rate": 1.9130434782608697e-05,
|
| 2227 |
+
"loss": 0.0779,
|
| 2228 |
+
"step": 317
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 8.95774647887324,
|
| 2232 |
+
"grad_norm": 0.444928914308548,
|
| 2233 |
+
"learning_rate": 1.855072463768116e-05,
|
| 2234 |
+
"loss": 0.0847,
|
| 2235 |
+
"step": 318
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 8.985915492957746,
|
| 2239 |
+
"grad_norm": 0.3009164035320282,
|
| 2240 |
+
"learning_rate": 1.7971014492753624e-05,
|
| 2241 |
+
"loss": 0.0913,
|
| 2242 |
+
"step": 319
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 9.014084507042254,
|
| 2246 |
+
"grad_norm": 0.4577416777610779,
|
| 2247 |
+
"learning_rate": 1.739130434782609e-05,
|
| 2248 |
+
"loss": 0.1061,
|
| 2249 |
+
"step": 320
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 9.04225352112676,
|
| 2253 |
+
"grad_norm": 0.32820069789886475,
|
| 2254 |
+
"learning_rate": 1.681159420289855e-05,
|
| 2255 |
+
"loss": 0.0811,
|
| 2256 |
+
"step": 321
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 9.070422535211268,
|
| 2260 |
+
"grad_norm": 0.33014532923698425,
|
| 2261 |
+
"learning_rate": 1.6231884057971015e-05,
|
| 2262 |
+
"loss": 0.0719,
|
| 2263 |
+
"step": 322
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"epoch": 9.098591549295774,
|
| 2267 |
+
"grad_norm": 0.2879844009876251,
|
| 2268 |
+
"learning_rate": 1.565217391304348e-05,
|
| 2269 |
+
"loss": 0.078,
|
| 2270 |
+
"step": 323
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 9.126760563380282,
|
| 2274 |
+
"grad_norm": 0.30533748865127563,
|
| 2275 |
+
"learning_rate": 1.5072463768115944e-05,
|
| 2276 |
+
"loss": 0.0849,
|
| 2277 |
+
"step": 324
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 9.154929577464788,
|
| 2281 |
+
"grad_norm": 0.33408045768737793,
|
| 2282 |
+
"learning_rate": 1.4492753623188407e-05,
|
| 2283 |
+
"loss": 0.0838,
|
| 2284 |
+
"step": 325
|
| 2285 |
+
},
|
| 2286 |
+
{
|
| 2287 |
+
"epoch": 9.183098591549296,
|
| 2288 |
+
"grad_norm": 0.2911009192466736,
|
| 2289 |
+
"learning_rate": 1.391304347826087e-05,
|
| 2290 |
+
"loss": 0.0775,
|
| 2291 |
+
"step": 326
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 9.211267605633802,
|
| 2295 |
+
"grad_norm": 0.28686001896858215,
|
| 2296 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 2297 |
+
"loss": 0.0743,
|
| 2298 |
+
"step": 327
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 9.23943661971831,
|
| 2302 |
+
"grad_norm": 0.2859594225883484,
|
| 2303 |
+
"learning_rate": 1.2753623188405797e-05,
|
| 2304 |
+
"loss": 0.0775,
|
| 2305 |
+
"step": 328
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 9.267605633802816,
|
| 2309 |
+
"grad_norm": 0.31478118896484375,
|
| 2310 |
+
"learning_rate": 1.2173913043478261e-05,
|
| 2311 |
+
"loss": 0.0805,
|
| 2312 |
+
"step": 329
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 9.295774647887324,
|
| 2316 |
+
"grad_norm": 0.24020850658416748,
|
| 2317 |
+
"learning_rate": 1.1594202898550725e-05,
|
| 2318 |
+
"loss": 0.069,
|
| 2319 |
+
"step": 330
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 9.323943661971832,
|
| 2323 |
+
"grad_norm": 0.21484291553497314,
|
| 2324 |
+
"learning_rate": 1.1014492753623188e-05,
|
| 2325 |
+
"loss": 0.0576,
|
| 2326 |
+
"step": 331
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 9.352112676056338,
|
| 2330 |
+
"grad_norm": 0.25770166516304016,
|
| 2331 |
+
"learning_rate": 1.0434782608695651e-05,
|
| 2332 |
+
"loss": 0.0629,
|
| 2333 |
+
"step": 332
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 9.380281690140846,
|
| 2337 |
+
"grad_norm": 0.27069777250289917,
|
| 2338 |
+
"learning_rate": 9.855072463768116e-06,
|
| 2339 |
+
"loss": 0.0727,
|
| 2340 |
+
"step": 333
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 9.408450704225352,
|
| 2344 |
+
"grad_norm": 0.2544201910495758,
|
| 2345 |
+
"learning_rate": 9.27536231884058e-06,
|
| 2346 |
+
"loss": 0.076,
|
| 2347 |
+
"step": 334
|
| 2348 |
+
},
|
| 2349 |
+
{
|
| 2350 |
+
"epoch": 9.43661971830986,
|
| 2351 |
+
"grad_norm": 0.3101740777492523,
|
| 2352 |
+
"learning_rate": 8.695652173913044e-06,
|
| 2353 |
+
"loss": 0.0805,
|
| 2354 |
+
"step": 335
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 9.464788732394366,
|
| 2358 |
+
"grad_norm": 0.26184478402137756,
|
| 2359 |
+
"learning_rate": 8.115942028985508e-06,
|
| 2360 |
+
"loss": 0.0735,
|
| 2361 |
+
"step": 336
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 9.492957746478874,
|
| 2365 |
+
"grad_norm": 0.29092589020729065,
|
| 2366 |
+
"learning_rate": 7.536231884057972e-06,
|
| 2367 |
+
"loss": 0.0731,
|
| 2368 |
+
"step": 337
|
| 2369 |
+
},
|
| 2370 |
+
{
|
| 2371 |
+
"epoch": 9.52112676056338,
|
| 2372 |
+
"grad_norm": 0.2829246520996094,
|
| 2373 |
+
"learning_rate": 6.956521739130435e-06,
|
| 2374 |
+
"loss": 0.0769,
|
| 2375 |
+
"step": 338
|
| 2376 |
+
},
|
| 2377 |
+
{
|
| 2378 |
+
"epoch": 9.549295774647888,
|
| 2379 |
+
"grad_norm": 0.3810921013355255,
|
| 2380 |
+
"learning_rate": 6.376811594202898e-06,
|
| 2381 |
+
"loss": 0.0706,
|
| 2382 |
+
"step": 339
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 9.577464788732394,
|
| 2386 |
+
"grad_norm": 0.3038487136363983,
|
| 2387 |
+
"learning_rate": 5.797101449275362e-06,
|
| 2388 |
+
"loss": 0.0792,
|
| 2389 |
+
"step": 340
|
| 2390 |
+
},
|
| 2391 |
+
{
|
| 2392 |
+
"epoch": 9.605633802816902,
|
| 2393 |
+
"grad_norm": 0.3652814030647278,
|
| 2394 |
+
"learning_rate": 5.217391304347826e-06,
|
| 2395 |
+
"loss": 0.0803,
|
| 2396 |
+
"step": 341
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 9.633802816901408,
|
| 2400 |
+
"grad_norm": 0.2841638922691345,
|
| 2401 |
+
"learning_rate": 4.63768115942029e-06,
|
| 2402 |
+
"loss": 0.0752,
|
| 2403 |
+
"step": 342
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 9.661971830985916,
|
| 2407 |
+
"grad_norm": 0.27094972133636475,
|
| 2408 |
+
"learning_rate": 4.057971014492754e-06,
|
| 2409 |
+
"loss": 0.0725,
|
| 2410 |
+
"step": 343
|
| 2411 |
+
},
|
| 2412 |
+
{
|
| 2413 |
+
"epoch": 9.690140845070422,
|
| 2414 |
+
"grad_norm": 0.23469455540180206,
|
| 2415 |
+
"learning_rate": 3.4782608695652175e-06,
|
| 2416 |
+
"loss": 0.0678,
|
| 2417 |
+
"step": 344
|
| 2418 |
+
},
|
| 2419 |
+
{
|
| 2420 |
+
"epoch": 9.71830985915493,
|
| 2421 |
+
"grad_norm": 0.2967429459095001,
|
| 2422 |
+
"learning_rate": 2.898550724637681e-06,
|
| 2423 |
+
"loss": 0.0702,
|
| 2424 |
+
"step": 345
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 9.746478873239436,
|
| 2428 |
+
"grad_norm": 0.3108316957950592,
|
| 2429 |
+
"learning_rate": 2.318840579710145e-06,
|
| 2430 |
+
"loss": 0.0665,
|
| 2431 |
+
"step": 346
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 9.774647887323944,
|
| 2435 |
+
"grad_norm": 0.27122360467910767,
|
| 2436 |
+
"learning_rate": 1.7391304347826088e-06,
|
| 2437 |
+
"loss": 0.07,
|
| 2438 |
+
"step": 347
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 9.80281690140845,
|
| 2442 |
+
"grad_norm": 0.287380188703537,
|
| 2443 |
+
"learning_rate": 1.1594202898550724e-06,
|
| 2444 |
+
"loss": 0.0855,
|
| 2445 |
+
"step": 348
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 9.830985915492958,
|
| 2449 |
+
"grad_norm": 0.44614729285240173,
|
| 2450 |
+
"learning_rate": 5.797101449275362e-07,
|
| 2451 |
+
"loss": 0.0886,
|
| 2452 |
+
"step": 349
|
| 2453 |
+
},
|
| 2454 |
+
{
|
| 2455 |
+
"epoch": 9.859154929577464,
|
| 2456 |
+
"grad_norm": 0.3320561945438385,
|
| 2457 |
+
"learning_rate": 0.0,
|
| 2458 |
+
"loss": 0.0746,
|
| 2459 |
+
"step": 350
|
| 2460 |
+
}
|
| 2461 |
+
],
|
| 2462 |
+
"logging_steps": 1,
|
| 2463 |
+
"max_steps": 350,
|
| 2464 |
+
"num_input_tokens_seen": 0,
|
| 2465 |
+
"num_train_epochs": 10,
|
| 2466 |
+
"save_steps": 500,
|
| 2467 |
+
"stateful_callbacks": {
|
| 2468 |
+
"TrainerControl": {
|
| 2469 |
+
"args": {
|
| 2470 |
+
"should_epoch_stop": false,
|
| 2471 |
+
"should_evaluate": false,
|
| 2472 |
+
"should_log": false,
|
| 2473 |
+
"should_save": true,
|
| 2474 |
+
"should_training_stop": true
|
| 2475 |
+
},
|
| 2476 |
+
"attributes": {}
|
| 2477 |
+
}
|
| 2478 |
+
},
|
| 2479 |
+
"total_flos": 1.1908582837248e+16,
|
| 2480 |
+
"train_batch_size": 2,
|
| 2481 |
+
"trial_name": null,
|
| 2482 |
+
"trial_params": null
|
| 2483 |
+
}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bd97a9bdef421774e3935dc5655557801671d2cdf17b7eda1e15c5e007fb5969
|
| 3 |
+
size 5560
|