Upload folder using huggingface_hub
Browse files- README.md +219 -0
- adapter_config.json +29 -0
- adapter_model.bin +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +229 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,219 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: Qwen/Qwen-14B
|
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 |
+
- **Shared by [optional]:** [More Information Needed]
|
22 |
+
- **Model type:** [More Information Needed]
|
23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
24 |
+
- **License:** [More Information Needed]
|
25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
26 |
+
|
27 |
+
### Model Sources [optional]
|
28 |
+
|
29 |
+
<!-- Provide the basic links for the model. -->
|
30 |
+
|
31 |
+
- **Repository:** [More Information Needed]
|
32 |
+
- **Paper [optional]:** [More Information Needed]
|
33 |
+
- **Demo [optional]:** [More Information Needed]
|
34 |
+
|
35 |
+
## Uses
|
36 |
+
|
37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
38 |
+
|
39 |
+
### Direct Use
|
40 |
+
|
41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
42 |
+
|
43 |
+
[More Information Needed]
|
44 |
+
|
45 |
+
### Downstream Use [optional]
|
46 |
+
|
47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
48 |
+
|
49 |
+
[More Information Needed]
|
50 |
+
|
51 |
+
### Out-of-Scope Use
|
52 |
+
|
53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
54 |
+
|
55 |
+
[More Information Needed]
|
56 |
+
|
57 |
+
## Bias, Risks, and Limitations
|
58 |
+
|
59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
60 |
+
|
61 |
+
[More Information Needed]
|
62 |
+
|
63 |
+
### Recommendations
|
64 |
+
|
65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
66 |
+
|
67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
68 |
+
|
69 |
+
## How to Get Started with the Model
|
70 |
+
|
71 |
+
Use the code below to get started with the model.
|
72 |
+
|
73 |
+
[More Information Needed]
|
74 |
+
|
75 |
+
## Training Details
|
76 |
+
|
77 |
+
### Training Data
|
78 |
+
|
79 |
+
<!-- This should link to a Data 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. -->
|
80 |
+
|
81 |
+
[More Information Needed]
|
82 |
+
|
83 |
+
### Training Procedure
|
84 |
+
|
85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
86 |
+
|
87 |
+
#### Preprocessing [optional]
|
88 |
+
|
89 |
+
[More Information Needed]
|
90 |
+
|
91 |
+
|
92 |
+
#### Training Hyperparameters
|
93 |
+
|
94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
95 |
+
|
96 |
+
#### Speeds, Sizes, Times [optional]
|
97 |
+
|
98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
99 |
+
|
100 |
+
[More Information Needed]
|
101 |
+
|
102 |
+
## Evaluation
|
103 |
+
|
104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
105 |
+
|
106 |
+
### Testing Data, Factors & Metrics
|
107 |
+
|
108 |
+
#### Testing Data
|
109 |
+
|
110 |
+
<!-- This should link to a Data Card if possible. -->
|
111 |
+
|
112 |
+
[More Information Needed]
|
113 |
+
|
114 |
+
#### Factors
|
115 |
+
|
116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
117 |
+
|
118 |
+
[More Information Needed]
|
119 |
+
|
120 |
+
#### Metrics
|
121 |
+
|
122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
123 |
+
|
124 |
+
[More Information Needed]
|
125 |
+
|
126 |
+
### Results
|
127 |
+
|
128 |
+
[More Information Needed]
|
129 |
+
|
130 |
+
#### Summary
|
131 |
+
|
132 |
+
|
133 |
+
|
134 |
+
## Model Examination [optional]
|
135 |
+
|
136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
137 |
+
|
138 |
+
[More Information Needed]
|
139 |
+
|
140 |
+
## Environmental Impact
|
141 |
+
|
142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
143 |
+
|
144 |
+
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).
|
145 |
+
|
146 |
+
- **Hardware Type:** [More Information Needed]
|
147 |
+
- **Hours used:** [More Information Needed]
|
148 |
+
- **Cloud Provider:** [More Information Needed]
|
149 |
+
- **Compute Region:** [More Information Needed]
|
150 |
+
- **Carbon Emitted:** [More Information Needed]
|
151 |
+
|
152 |
+
## Technical Specifications [optional]
|
153 |
+
|
154 |
+
### Model Architecture and Objective
|
155 |
+
|
156 |
+
[More Information Needed]
|
157 |
+
|
158 |
+
### Compute Infrastructure
|
159 |
+
|
160 |
+
[More Information Needed]
|
161 |
+
|
162 |
+
#### Hardware
|
163 |
+
|
164 |
+
[More Information Needed]
|
165 |
+
|
166 |
+
#### Software
|
167 |
+
|
168 |
+
[More Information Needed]
|
169 |
+
|
170 |
+
## Citation [optional]
|
171 |
+
|
172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
173 |
+
|
174 |
+
**BibTeX:**
|
175 |
+
|
176 |
+
[More Information Needed]
|
177 |
+
|
178 |
+
**APA:**
|
179 |
+
|
180 |
+
[More Information Needed]
|
181 |
+
|
182 |
+
## Glossary [optional]
|
183 |
+
|
184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
185 |
+
|
186 |
+
[More Information Needed]
|
187 |
+
|
188 |
+
## More Information [optional]
|
189 |
+
|
190 |
+
[More Information Needed]
|
191 |
+
|
192 |
+
## Model Card Authors [optional]
|
193 |
+
|
194 |
+
[More Information Needed]
|
195 |
+
|
196 |
+
## Model Card Contact
|
197 |
+
|
198 |
+
[More Information Needed]
|
199 |
+
|
200 |
+
|
201 |
+
## Training procedure
|
202 |
+
|
203 |
+
|
204 |
+
The following `bitsandbytes` quantization config was used during training:
|
205 |
+
- quant_method: bitsandbytes
|
206 |
+
- load_in_8bit: False
|
207 |
+
- load_in_4bit: True
|
208 |
+
- llm_int8_threshold: 6.0
|
209 |
+
- llm_int8_skip_modules: None
|
210 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
211 |
+
- llm_int8_has_fp16_weight: False
|
212 |
+
- bnb_4bit_quant_type: nf4
|
213 |
+
- bnb_4bit_use_double_quant: True
|
214 |
+
- bnb_4bit_compute_dtype: bfloat16
|
215 |
+
|
216 |
+
### Framework versions
|
217 |
+
|
218 |
+
|
219 |
+
- PEFT 0.6.0.dev0
|
adapter_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/Qwen-14B",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"lora_alpha": 32,
|
12 |
+
"lora_dropout": 0.05,
|
13 |
+
"modules_to_save": null,
|
14 |
+
"peft_type": "LORA",
|
15 |
+
"r": 8,
|
16 |
+
"rank_pattern": {},
|
17 |
+
"revision": null,
|
18 |
+
"target_modules": [
|
19 |
+
"v_proj",
|
20 |
+
"q_proj",
|
21 |
+
"up_proj",
|
22 |
+
"k_proj",
|
23 |
+
"down_proj",
|
24 |
+
"lm_head",
|
25 |
+
"o_proj",
|
26 |
+
"gate_proj"
|
27 |
+
],
|
28 |
+
"task_type": "CAUSAL_LM"
|
29 |
+
}
|
adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6d6b02414acb1be92b4c5e88314d2d1495a4b779dfd91e87cc7d80c162b042f2
|
3 |
+
size 5031039
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7865a912f8763801806b906479f6c22c759ae26c6369defaf26f04b869d45fc2
|
3 |
+
size 2525407
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b2e484e9f75d4d04abdcd6260804fa304f852cd83bfa353a4f6956fd300e2577
|
3 |
+
size 14575
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c0a532d10450bb8d0d0b4f5874269e3caf8b7feec7cbd67e538611ef0bbcdc8b
|
3 |
+
size 627
|
trainer_state.json
ADDED
@@ -0,0 +1,229 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.8075370121130552,
|
5 |
+
"eval_steps": 20,
|
6 |
+
"global_step": 300,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.05,
|
13 |
+
"learning_rate": 1.9393939393939395e-05,
|
14 |
+
"loss": 1.8863,
|
15 |
+
"step": 20
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.05,
|
19 |
+
"eval_loss": 1.8873858451843262,
|
20 |
+
"eval_runtime": 239.4635,
|
21 |
+
"eval_samples_per_second": 1.424,
|
22 |
+
"eval_steps_per_second": 0.359,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.11,
|
27 |
+
"learning_rate": 1.8585858585858588e-05,
|
28 |
+
"loss": 1.8793,
|
29 |
+
"step": 40
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 0.11,
|
33 |
+
"eval_loss": 1.8863250017166138,
|
34 |
+
"eval_runtime": 239.6014,
|
35 |
+
"eval_samples_per_second": 1.423,
|
36 |
+
"eval_steps_per_second": 0.359,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.16,
|
41 |
+
"learning_rate": 1.7777777777777777e-05,
|
42 |
+
"loss": 1.8959,
|
43 |
+
"step": 60
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 0.16,
|
47 |
+
"eval_loss": 1.8841357231140137,
|
48 |
+
"eval_runtime": 239.357,
|
49 |
+
"eval_samples_per_second": 1.425,
|
50 |
+
"eval_steps_per_second": 0.359,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.22,
|
55 |
+
"learning_rate": 1.6969696969696972e-05,
|
56 |
+
"loss": 1.8621,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.22,
|
61 |
+
"eval_loss": 1.8818137645721436,
|
62 |
+
"eval_runtime": 238.5328,
|
63 |
+
"eval_samples_per_second": 1.43,
|
64 |
+
"eval_steps_per_second": 0.361,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.27,
|
69 |
+
"learning_rate": 1.616161616161616e-05,
|
70 |
+
"loss": 1.909,
|
71 |
+
"step": 100
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 0.27,
|
75 |
+
"eval_loss": 1.879331111907959,
|
76 |
+
"eval_runtime": 236.4968,
|
77 |
+
"eval_samples_per_second": 1.442,
|
78 |
+
"eval_steps_per_second": 0.364,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.32,
|
83 |
+
"learning_rate": 1.5353535353535354e-05,
|
84 |
+
"loss": 1.8668,
|
85 |
+
"step": 120
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 0.32,
|
89 |
+
"eval_loss": 1.876706838607788,
|
90 |
+
"eval_runtime": 236.7299,
|
91 |
+
"eval_samples_per_second": 1.44,
|
92 |
+
"eval_steps_per_second": 0.363,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.38,
|
97 |
+
"learning_rate": 1.4545454545454546e-05,
|
98 |
+
"loss": 1.8485,
|
99 |
+
"step": 140
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.38,
|
103 |
+
"eval_loss": 1.8741997480392456,
|
104 |
+
"eval_runtime": 235.9214,
|
105 |
+
"eval_samples_per_second": 1.445,
|
106 |
+
"eval_steps_per_second": 0.365,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.43,
|
111 |
+
"learning_rate": 1.3737373737373739e-05,
|
112 |
+
"loss": 1.8689,
|
113 |
+
"step": 160
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.43,
|
117 |
+
"eval_loss": 1.8719853162765503,
|
118 |
+
"eval_runtime": 236.0536,
|
119 |
+
"eval_samples_per_second": 1.445,
|
120 |
+
"eval_steps_per_second": 0.364,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.48,
|
125 |
+
"learning_rate": 1.2929292929292931e-05,
|
126 |
+
"loss": 1.8971,
|
127 |
+
"step": 180
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 0.48,
|
131 |
+
"eval_loss": 1.8698476552963257,
|
132 |
+
"eval_runtime": 238.0229,
|
133 |
+
"eval_samples_per_second": 1.433,
|
134 |
+
"eval_steps_per_second": 0.361,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.54,
|
139 |
+
"learning_rate": 1.2121212121212122e-05,
|
140 |
+
"loss": 1.841,
|
141 |
+
"step": 200
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.54,
|
145 |
+
"eval_loss": 1.8679039478302002,
|
146 |
+
"eval_runtime": 240.0449,
|
147 |
+
"eval_samples_per_second": 1.421,
|
148 |
+
"eval_steps_per_second": 0.358,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.59,
|
153 |
+
"learning_rate": 1.1313131313131314e-05,
|
154 |
+
"loss": 1.8491,
|
155 |
+
"step": 220
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 0.59,
|
159 |
+
"eval_loss": 1.8661690950393677,
|
160 |
+
"eval_runtime": 239.9828,
|
161 |
+
"eval_samples_per_second": 1.421,
|
162 |
+
"eval_steps_per_second": 0.358,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.65,
|
167 |
+
"learning_rate": 1.0505050505050507e-05,
|
168 |
+
"loss": 1.8359,
|
169 |
+
"step": 240
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 0.65,
|
173 |
+
"eval_loss": 1.8646190166473389,
|
174 |
+
"eval_runtime": 239.8868,
|
175 |
+
"eval_samples_per_second": 1.422,
|
176 |
+
"eval_steps_per_second": 0.359,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.7,
|
181 |
+
"learning_rate": 9.696969696969698e-06,
|
182 |
+
"loss": 1.8449,
|
183 |
+
"step": 260
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.7,
|
187 |
+
"eval_loss": 1.8632733821868896,
|
188 |
+
"eval_runtime": 240.1384,
|
189 |
+
"eval_samples_per_second": 1.42,
|
190 |
+
"eval_steps_per_second": 0.358,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.75,
|
195 |
+
"learning_rate": 8.888888888888888e-06,
|
196 |
+
"loss": 1.8539,
|
197 |
+
"step": 280
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.75,
|
201 |
+
"eval_loss": 1.862046241760254,
|
202 |
+
"eval_runtime": 240.0518,
|
203 |
+
"eval_samples_per_second": 1.421,
|
204 |
+
"eval_steps_per_second": 0.358,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.81,
|
209 |
+
"learning_rate": 8.08080808080808e-06,
|
210 |
+
"loss": 1.8268,
|
211 |
+
"step": 300
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.81,
|
215 |
+
"eval_loss": 1.8610001802444458,
|
216 |
+
"eval_runtime": 239.6398,
|
217 |
+
"eval_samples_per_second": 1.423,
|
218 |
+
"eval_steps_per_second": 0.359,
|
219 |
+
"step": 300
|
220 |
+
}
|
221 |
+
],
|
222 |
+
"logging_steps": 20,
|
223 |
+
"max_steps": 500,
|
224 |
+
"num_train_epochs": 2,
|
225 |
+
"save_steps": 20,
|
226 |
+
"total_flos": 2.089574637502464e+17,
|
227 |
+
"trial_name": null,
|
228 |
+
"trial_params": null
|
229 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aa2ca84b56a3df2103cbe3b35ed78f630c99ab2beae5e8ea394b407a608b7eff
|
3 |
+
size 4027
|