Training in progress, step 400, checkpoint
Browse files- checkpoint-400/README.md +204 -0
- checkpoint-400/adapter_config.json +31 -0
- checkpoint-400/adapter_model.safetensors +3 -0
- checkpoint-400/optimizer.pt +3 -0
- checkpoint-400/rng_state.pth +3 -0
- checkpoint-400/scheduler.pt +3 -0
- checkpoint-400/special_tokens_map.json +29 -0
- checkpoint-400/tokenizer.json +0 -0
- checkpoint-400/tokenizer.model +3 -0
- checkpoint-400/tokenizer_config.json +50 -0
- checkpoint-400/trainer_state.json +393 -0
- checkpoint-400/training_args.bin +3 -0
checkpoint-400/README.md
ADDED
@@ -0,0 +1,204 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: HuggingFaceH4/zephyr-7b-beta
|
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 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.10.0
|
checkpoint-400/adapter_config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
|
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": 32,
|
14 |
+
"lora_dropout": 0.05,
|
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 |
+
"v_proj",
|
24 |
+
"q_proj",
|
25 |
+
"k_proj",
|
26 |
+
"o_proj"
|
27 |
+
],
|
28 |
+
"task_type": "CAUSAL_LM",
|
29 |
+
"use_dora": false,
|
30 |
+
"use_rslora": false
|
31 |
+
}
|
checkpoint-400/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:39f6e40abe652c2034fbeef6ba673f34ac878c8706c5bd79c6bf7582b6bc7847
|
3 |
+
size 54560368
|
checkpoint-400/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:38595797c3f597a87ab18a44e887d4c3aff26774eb4a760b41b7fb169179d65e
|
3 |
+
size 109267450
|
checkpoint-400/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d245e05e72192c132e0f2edb6fdcae0c578c890f0fe912f17ec7b0bba2d38cc3
|
3 |
+
size 14244
|
checkpoint-400/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0036d82f2e21e3394011d2fd21cbbd9af467f37a026201c919dae62d508ef9ba
|
3 |
+
size 1064
|
checkpoint-400/special_tokens_map.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<unk>",
|
4 |
+
"<s>",
|
5 |
+
"</s>"
|
6 |
+
],
|
7 |
+
"bos_token": {
|
8 |
+
"content": "<s>",
|
9 |
+
"lstrip": false,
|
10 |
+
"normalized": false,
|
11 |
+
"rstrip": false,
|
12 |
+
"single_word": false
|
13 |
+
},
|
14 |
+
"eos_token": {
|
15 |
+
"content": "</s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"pad_token": "<unk>",
|
22 |
+
"unk_token": {
|
23 |
+
"content": "<unk>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false
|
28 |
+
}
|
29 |
+
}
|
checkpoint-400/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-400/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
checkpoint-400/tokenizer_config.json
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [
|
31 |
+
"<unk>",
|
32 |
+
"<s>",
|
33 |
+
"</s>"
|
34 |
+
],
|
35 |
+
"bos_token": "<s>",
|
36 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
37 |
+
"clean_up_tokenization_spaces": false,
|
38 |
+
"eos_token": "</s>",
|
39 |
+
"legacy": true,
|
40 |
+
"max_lenght": 8192,
|
41 |
+
"model_max_length": 1000000000000000019884624838656,
|
42 |
+
"pad_token": "<unk>",
|
43 |
+
"padding": true,
|
44 |
+
"sp_model_kwargs": {},
|
45 |
+
"spaces_between_special_tokens": false,
|
46 |
+
"tokenizer_class": "LlamaTokenizer",
|
47 |
+
"truncation_side": "left",
|
48 |
+
"unk_token": "<unk>",
|
49 |
+
"use_default_system_prompt": true
|
50 |
+
}
|
checkpoint-400/trainer_state.json
ADDED
@@ -0,0 +1,393 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.020107893273234367,
|
3 |
+
"best_model_checkpoint": "./Zephyr/27-03-24-Weni-WeniGPT-QA-Zephyr-7B-4.0.0-KTO_WeniGPT Experiment using KTO trainer with no collator-2_max_steps-786_batch_16_2024-03-27_ppid_9/checkpoint-400",
|
4 |
+
"epoch": 1.510146295422369,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 400,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.08,
|
13 |
+
"grad_norm": 2.2820355892181396,
|
14 |
+
"kl": 0.7391773462295532,
|
15 |
+
"learning_rate": 0.0001666666666666667,
|
16 |
+
"logps/chosen": NaN,
|
17 |
+
"logps/rejected": NaN,
|
18 |
+
"loss": 785.5091,
|
19 |
+
"rewards/chosen": NaN,
|
20 |
+
"rewards/margins": NaN,
|
21 |
+
"rewards/rejected": NaN,
|
22 |
+
"step": 20
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"epoch": 0.15,
|
26 |
+
"grad_norm": NaN,
|
27 |
+
"kl": 1.364301085472107,
|
28 |
+
"learning_rate": 0.00019606299212598428,
|
29 |
+
"logps/chosen": NaN,
|
30 |
+
"logps/rejected": NaN,
|
31 |
+
"loss": 124.9389,
|
32 |
+
"rewards/chosen": NaN,
|
33 |
+
"rewards/margins": NaN,
|
34 |
+
"rewards/rejected": NaN,
|
35 |
+
"step": 40
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"epoch": 0.19,
|
39 |
+
"eval_kl": 3.282975673675537,
|
40 |
+
"eval_logps/chosen": -132.00738525390625,
|
41 |
+
"eval_logps/rejected": -237.69239807128906,
|
42 |
+
"eval_loss": 0.09803511947393417,
|
43 |
+
"eval_rewards/chosen": 4.3711838722229,
|
44 |
+
"eval_rewards/margins": 8.833364486694336,
|
45 |
+
"eval_rewards/rejected": -4.462180137634277,
|
46 |
+
"eval_runtime": 474.8108,
|
47 |
+
"eval_samples_per_second": 1.07,
|
48 |
+
"eval_steps_per_second": 0.535,
|
49 |
+
"step": 50
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 0.23,
|
53 |
+
"grad_norm": 1.1073336601257324,
|
54 |
+
"kl": 0.8054396510124207,
|
55 |
+
"learning_rate": 0.00019107611548556432,
|
56 |
+
"logps/chosen": NaN,
|
57 |
+
"logps/rejected": NaN,
|
58 |
+
"loss": 91.2134,
|
59 |
+
"rewards/chosen": NaN,
|
60 |
+
"rewards/margins": NaN,
|
61 |
+
"rewards/rejected": NaN,
|
62 |
+
"step": 60
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.3,
|
66 |
+
"grad_norm": 0.4274377226829529,
|
67 |
+
"kl": 0.38704636693000793,
|
68 |
+
"learning_rate": 0.00018582677165354333,
|
69 |
+
"logps/chosen": NaN,
|
70 |
+
"logps/rejected": NaN,
|
71 |
+
"loss": 26.9569,
|
72 |
+
"rewards/chosen": NaN,
|
73 |
+
"rewards/margins": NaN,
|
74 |
+
"rewards/rejected": NaN,
|
75 |
+
"step": 80
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.38,
|
79 |
+
"grad_norm": 0.5270018577575684,
|
80 |
+
"kl": 0.47709473967552185,
|
81 |
+
"learning_rate": 0.0001805774278215223,
|
82 |
+
"logps/chosen": NaN,
|
83 |
+
"logps/rejected": NaN,
|
84 |
+
"loss": 10.8269,
|
85 |
+
"rewards/chosen": NaN,
|
86 |
+
"rewards/margins": NaN,
|
87 |
+
"rewards/rejected": NaN,
|
88 |
+
"step": 100
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 0.38,
|
92 |
+
"eval_kl": 0.762260377407074,
|
93 |
+
"eval_logps/chosen": -135.4526824951172,
|
94 |
+
"eval_logps/rejected": -541.3764038085938,
|
95 |
+
"eval_loss": 0.039932698011398315,
|
96 |
+
"eval_rewards/chosen": 4.026655197143555,
|
97 |
+
"eval_rewards/margins": 38.857234954833984,
|
98 |
+
"eval_rewards/rejected": -34.83057403564453,
|
99 |
+
"eval_runtime": 474.2877,
|
100 |
+
"eval_samples_per_second": 1.071,
|
101 |
+
"eval_steps_per_second": 0.536,
|
102 |
+
"step": 100
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"epoch": 0.45,
|
106 |
+
"grad_norm": 0.19858050346374512,
|
107 |
+
"kl": 1.8940637111663818,
|
108 |
+
"learning_rate": 0.00017532808398950132,
|
109 |
+
"logps/chosen": NaN,
|
110 |
+
"logps/rejected": NaN,
|
111 |
+
"loss": 34.2088,
|
112 |
+
"rewards/chosen": NaN,
|
113 |
+
"rewards/margins": NaN,
|
114 |
+
"rewards/rejected": NaN,
|
115 |
+
"step": 120
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.53,
|
119 |
+
"grad_norm": 2.615041971206665,
|
120 |
+
"kl": 1.40102219581604,
|
121 |
+
"learning_rate": 0.00017007874015748033,
|
122 |
+
"logps/chosen": NaN,
|
123 |
+
"logps/rejected": NaN,
|
124 |
+
"loss": 276.3512,
|
125 |
+
"rewards/chosen": NaN,
|
126 |
+
"rewards/margins": NaN,
|
127 |
+
"rewards/rejected": NaN,
|
128 |
+
"step": 140
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.57,
|
132 |
+
"eval_kl": 1.686139702796936,
|
133 |
+
"eval_logps/chosen": -127.73213195800781,
|
134 |
+
"eval_logps/rejected": -397.8934631347656,
|
135 |
+
"eval_loss": 0.02803400717675686,
|
136 |
+
"eval_rewards/chosen": 4.798709869384766,
|
137 |
+
"eval_rewards/margins": 25.2810001373291,
|
138 |
+
"eval_rewards/rejected": -20.482288360595703,
|
139 |
+
"eval_runtime": 474.6717,
|
140 |
+
"eval_samples_per_second": 1.07,
|
141 |
+
"eval_steps_per_second": 0.535,
|
142 |
+
"step": 150
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.6,
|
146 |
+
"grad_norm": 0.31603240966796875,
|
147 |
+
"kl": 0.7387570738792419,
|
148 |
+
"learning_rate": 0.00016482939632545934,
|
149 |
+
"logps/chosen": NaN,
|
150 |
+
"logps/rejected": NaN,
|
151 |
+
"loss": 216.0894,
|
152 |
+
"rewards/chosen": NaN,
|
153 |
+
"rewards/margins": NaN,
|
154 |
+
"rewards/rejected": NaN,
|
155 |
+
"step": 160
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 0.68,
|
159 |
+
"grad_norm": 0.3982734978199005,
|
160 |
+
"kl": 1.4841536283493042,
|
161 |
+
"learning_rate": 0.00015958005249343832,
|
162 |
+
"logps/chosen": NaN,
|
163 |
+
"logps/rejected": NaN,
|
164 |
+
"loss": 8.0994,
|
165 |
+
"rewards/chosen": NaN,
|
166 |
+
"rewards/margins": NaN,
|
167 |
+
"rewards/rejected": NaN,
|
168 |
+
"step": 180
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 0.76,
|
172 |
+
"grad_norm": 2.1777164936065674,
|
173 |
+
"kl": 0.3081069588661194,
|
174 |
+
"learning_rate": 0.00015433070866141733,
|
175 |
+
"logps/chosen": NaN,
|
176 |
+
"logps/rejected": NaN,
|
177 |
+
"loss": 5.7214,
|
178 |
+
"rewards/chosen": NaN,
|
179 |
+
"rewards/margins": NaN,
|
180 |
+
"rewards/rejected": NaN,
|
181 |
+
"step": 200
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 0.76,
|
185 |
+
"eval_kl": 1.5452415943145752,
|
186 |
+
"eval_logps/chosen": -125.70950317382812,
|
187 |
+
"eval_logps/rejected": -412.7599182128906,
|
188 |
+
"eval_loss": 0.029857149347662926,
|
189 |
+
"eval_rewards/chosen": 5.000972270965576,
|
190 |
+
"eval_rewards/margins": 26.969900131225586,
|
191 |
+
"eval_rewards/rejected": -21.96892738342285,
|
192 |
+
"eval_runtime": 474.8305,
|
193 |
+
"eval_samples_per_second": 1.07,
|
194 |
+
"eval_steps_per_second": 0.535,
|
195 |
+
"step": 200
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.83,
|
199 |
+
"grad_norm": 0.08603761345148087,
|
200 |
+
"kl": 1.142593264579773,
|
201 |
+
"learning_rate": 0.00014908136482939634,
|
202 |
+
"logps/chosen": NaN,
|
203 |
+
"logps/rejected": NaN,
|
204 |
+
"loss": 22.8407,
|
205 |
+
"rewards/chosen": NaN,
|
206 |
+
"rewards/margins": NaN,
|
207 |
+
"rewards/rejected": NaN,
|
208 |
+
"step": 220
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 0.91,
|
212 |
+
"grad_norm": 5.5862650871276855,
|
213 |
+
"kl": 0.40408754348754883,
|
214 |
+
"learning_rate": 0.00014383202099737535,
|
215 |
+
"logps/chosen": NaN,
|
216 |
+
"logps/rejected": NaN,
|
217 |
+
"loss": 207.9747,
|
218 |
+
"rewards/chosen": NaN,
|
219 |
+
"rewards/margins": NaN,
|
220 |
+
"rewards/rejected": NaN,
|
221 |
+
"step": 240
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.94,
|
225 |
+
"eval_kl": 1.182385802268982,
|
226 |
+
"eval_logps/chosen": -127.54723358154297,
|
227 |
+
"eval_logps/rejected": -806.224853515625,
|
228 |
+
"eval_loss": 0.026166189461946487,
|
229 |
+
"eval_rewards/chosen": 4.817198276519775,
|
230 |
+
"eval_rewards/margins": 66.13262176513672,
|
231 |
+
"eval_rewards/rejected": -61.315425872802734,
|
232 |
+
"eval_runtime": 474.7526,
|
233 |
+
"eval_samples_per_second": 1.07,
|
234 |
+
"eval_steps_per_second": 0.535,
|
235 |
+
"step": 250
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.98,
|
239 |
+
"grad_norm": 0.39546045660972595,
|
240 |
+
"kl": 0.7778356671333313,
|
241 |
+
"learning_rate": 0.00013858267716535433,
|
242 |
+
"logps/chosen": NaN,
|
243 |
+
"logps/rejected": NaN,
|
244 |
+
"loss": 720.8411,
|
245 |
+
"rewards/chosen": NaN,
|
246 |
+
"rewards/margins": NaN,
|
247 |
+
"rewards/rejected": NaN,
|
248 |
+
"step": 260
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.06,
|
252 |
+
"grad_norm": 0.1680106222629547,
|
253 |
+
"kl": 1.798954963684082,
|
254 |
+
"learning_rate": 0.00013333333333333334,
|
255 |
+
"logps/chosen": NaN,
|
256 |
+
"logps/rejected": NaN,
|
257 |
+
"loss": 756.123,
|
258 |
+
"rewards/chosen": NaN,
|
259 |
+
"rewards/margins": NaN,
|
260 |
+
"rewards/rejected": NaN,
|
261 |
+
"step": 280
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 1.13,
|
265 |
+
"grad_norm": 0.13731369376182556,
|
266 |
+
"kl": 1.9178543090820312,
|
267 |
+
"learning_rate": 0.00012808398950131235,
|
268 |
+
"logps/chosen": NaN,
|
269 |
+
"logps/rejected": NaN,
|
270 |
+
"loss": 25.0348,
|
271 |
+
"rewards/chosen": NaN,
|
272 |
+
"rewards/margins": NaN,
|
273 |
+
"rewards/rejected": NaN,
|
274 |
+
"step": 300
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 1.13,
|
278 |
+
"eval_kl": 1.4845337867736816,
|
279 |
+
"eval_logps/chosen": -125.86082458496094,
|
280 |
+
"eval_logps/rejected": -901.4517211914062,
|
281 |
+
"eval_loss": 0.020615577697753906,
|
282 |
+
"eval_rewards/chosen": 4.985838890075684,
|
283 |
+
"eval_rewards/margins": 75.82396697998047,
|
284 |
+
"eval_rewards/rejected": -70.83811950683594,
|
285 |
+
"eval_runtime": 474.4234,
|
286 |
+
"eval_samples_per_second": 1.071,
|
287 |
+
"eval_steps_per_second": 0.535,
|
288 |
+
"step": 300
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 1.21,
|
292 |
+
"grad_norm": 0.35939568281173706,
|
293 |
+
"kl": 0.7613407373428345,
|
294 |
+
"learning_rate": 0.00012283464566929136,
|
295 |
+
"logps/chosen": NaN,
|
296 |
+
"logps/rejected": NaN,
|
297 |
+
"loss": 10.9288,
|
298 |
+
"rewards/chosen": NaN,
|
299 |
+
"rewards/margins": NaN,
|
300 |
+
"rewards/rejected": NaN,
|
301 |
+
"step": 320
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 1.28,
|
305 |
+
"grad_norm": 0.0034766767639666796,
|
306 |
+
"kl": 0.3800249993801117,
|
307 |
+
"learning_rate": 0.00011758530183727034,
|
308 |
+
"logps/chosen": NaN,
|
309 |
+
"logps/rejected": NaN,
|
310 |
+
"loss": 3.1951,
|
311 |
+
"rewards/chosen": NaN,
|
312 |
+
"rewards/margins": NaN,
|
313 |
+
"rewards/rejected": NaN,
|
314 |
+
"step": 340
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 1.32,
|
318 |
+
"eval_kl": 0.6363816261291504,
|
319 |
+
"eval_logps/chosen": -128.82322692871094,
|
320 |
+
"eval_logps/rejected": -1020.8375244140625,
|
321 |
+
"eval_loss": 0.026503143832087517,
|
322 |
+
"eval_rewards/chosen": 4.689598560333252,
|
323 |
+
"eval_rewards/margins": 87.4662857055664,
|
324 |
+
"eval_rewards/rejected": -82.77667999267578,
|
325 |
+
"eval_runtime": 474.6086,
|
326 |
+
"eval_samples_per_second": 1.07,
|
327 |
+
"eval_steps_per_second": 0.535,
|
328 |
+
"step": 350
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 1.36,
|
332 |
+
"grad_norm": 1.1018553972244263,
|
333 |
+
"kl": 0.1121591106057167,
|
334 |
+
"learning_rate": 0.00011233595800524934,
|
335 |
+
"logps/chosen": NaN,
|
336 |
+
"logps/rejected": NaN,
|
337 |
+
"loss": 3.5301,
|
338 |
+
"rewards/chosen": NaN,
|
339 |
+
"rewards/margins": NaN,
|
340 |
+
"rewards/rejected": NaN,
|
341 |
+
"step": 360
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 1.43,
|
345 |
+
"grad_norm": 0.6937451958656311,
|
346 |
+
"kl": 1.0412858724594116,
|
347 |
+
"learning_rate": 0.00010708661417322836,
|
348 |
+
"logps/chosen": NaN,
|
349 |
+
"logps/rejected": NaN,
|
350 |
+
"loss": 2.2977,
|
351 |
+
"rewards/chosen": NaN,
|
352 |
+
"rewards/margins": NaN,
|
353 |
+
"rewards/rejected": NaN,
|
354 |
+
"step": 380
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 1.51,
|
358 |
+
"grad_norm": 0.25449952483177185,
|
359 |
+
"kl": 0.832425594329834,
|
360 |
+
"learning_rate": 0.00010183727034120735,
|
361 |
+
"logps/chosen": NaN,
|
362 |
+
"logps/rejected": NaN,
|
363 |
+
"loss": 68.7248,
|
364 |
+
"rewards/chosen": NaN,
|
365 |
+
"rewards/margins": NaN,
|
366 |
+
"rewards/rejected": NaN,
|
367 |
+
"step": 400
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 1.51,
|
371 |
+
"eval_kl": 1.2176250219345093,
|
372 |
+
"eval_logps/chosen": -125.15269470214844,
|
373 |
+
"eval_logps/rejected": -730.7761840820312,
|
374 |
+
"eval_loss": 0.020107893273234367,
|
375 |
+
"eval_rewards/chosen": 5.056652545928955,
|
376 |
+
"eval_rewards/margins": 58.827205657958984,
|
377 |
+
"eval_rewards/rejected": -53.77055358886719,
|
378 |
+
"eval_runtime": 474.7959,
|
379 |
+
"eval_samples_per_second": 1.07,
|
380 |
+
"eval_steps_per_second": 0.535,
|
381 |
+
"step": 400
|
382 |
+
}
|
383 |
+
],
|
384 |
+
"logging_steps": 20,
|
385 |
+
"max_steps": 786,
|
386 |
+
"num_input_tokens_seen": 0,
|
387 |
+
"num_train_epochs": 3,
|
388 |
+
"save_steps": 100,
|
389 |
+
"total_flos": 0.0,
|
390 |
+
"train_batch_size": 2,
|
391 |
+
"trial_name": null,
|
392 |
+
"trial_params": null
|
393 |
+
}
|
checkpoint-400/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:37f8de63f7251b421ab779a91afa135a4e3d7a01d6fc2bbf75c6244ae559c699
|
3 |
+
size 5624
|