Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- checkpoint-200/README.md +202 -0
- checkpoint-200/adapter_config.json +29 -0
- checkpoint-200/adapter_model.safetensors +3 -0
- checkpoint-200/optimizer.pt +3 -0
- checkpoint-200/rng_state.pth +3 -0
- checkpoint-200/scheduler.pt +3 -0
- checkpoint-200/trainer_state.json +1433 -0
- checkpoint-200/training_args.bin +3 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: ibm-granite/granite-3.0-8b-instruct
|
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
|
adapter_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "ibm-granite/granite-3.0-8b-instruct",
|
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 |
+
"q_proj",
|
24 |
+
"v_proj"
|
25 |
+
],
|
26 |
+
"task_type": "CAUSAL_LM",
|
27 |
+
"use_dora": false,
|
28 |
+
"use_rslora": false
|
29 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0a09f72564127e675a61ec7d58c2b23ee0225211e1d406d4e469fe6bd74a8dc1
|
3 |
+
size 34100216
|
checkpoint-200/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: ibm-granite/granite-3.0-8b-instruct
|
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
|
checkpoint-200/adapter_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "ibm-granite/granite-3.0-8b-instruct",
|
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 |
+
"q_proj",
|
24 |
+
"v_proj"
|
25 |
+
],
|
26 |
+
"task_type": "CAUSAL_LM",
|
27 |
+
"use_dora": false,
|
28 |
+
"use_rslora": false
|
29 |
+
}
|
checkpoint-200/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0a09f72564127e675a61ec7d58c2b23ee0225211e1d406d4e469fe6bd74a8dc1
|
3 |
+
size 34100216
|
checkpoint-200/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:442b87a1767f1aa22edbdbe9e6f4ca2c59b5587a8346c755af8d0ae24e68f1ba
|
3 |
+
size 68292346
|
checkpoint-200/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6db1565fdf085bc8560b9b4bdd5f55abb40db42feac17284b294419663599c75
|
3 |
+
size 14244
|
checkpoint-200/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a39755222377151208b988e4341f8c8d9958c119c2f9cf7ee718109a8d7880b
|
3 |
+
size 1064
|
checkpoint-200/trainer_state.json
ADDED
@@ -0,0 +1,1433 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.15891934843067143,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 200,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0007945967421533572,
|
13 |
+
"grad_norm": NaN,
|
14 |
+
"learning_rate": 0.0,
|
15 |
+
"loss": 2.9992,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0015891934843067143,
|
20 |
+
"grad_norm": 2.3542397022247314,
|
21 |
+
"learning_rate": 2.0000000000000003e-06,
|
22 |
+
"loss": 2.4211,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.0023837902264600714,
|
27 |
+
"grad_norm": 1.7234137058258057,
|
28 |
+
"learning_rate": 4.000000000000001e-06,
|
29 |
+
"loss": 2.4802,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.0031783869686134287,
|
34 |
+
"grad_norm": 1.8402104377746582,
|
35 |
+
"learning_rate": 6e-06,
|
36 |
+
"loss": 2.5004,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.003972983710766786,
|
41 |
+
"grad_norm": 1.9447062015533447,
|
42 |
+
"learning_rate": 8.000000000000001e-06,
|
43 |
+
"loss": 2.5601,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.004767580452920143,
|
48 |
+
"grad_norm": 1.6480785608291626,
|
49 |
+
"learning_rate": 1e-05,
|
50 |
+
"loss": 2.3849,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.0055621771950735005,
|
55 |
+
"grad_norm": 8.942625999450684,
|
56 |
+
"learning_rate": 1.2e-05,
|
57 |
+
"loss": 2.9789,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.006356773937226857,
|
62 |
+
"grad_norm": 4.155797958374023,
|
63 |
+
"learning_rate": 1.4000000000000001e-05,
|
64 |
+
"loss": 2.6198,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.007151370679380214,
|
69 |
+
"grad_norm": 1.6816856861114502,
|
70 |
+
"learning_rate": 1.6000000000000003e-05,
|
71 |
+
"loss": 2.4154,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.007945967421533572,
|
76 |
+
"grad_norm": 2.22641921043396,
|
77 |
+
"learning_rate": 1.8e-05,
|
78 |
+
"loss": 2.5419,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.00874056416368693,
|
83 |
+
"grad_norm": 8.44351577758789,
|
84 |
+
"learning_rate": 2e-05,
|
85 |
+
"loss": 2.2415,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.009535160905840286,
|
90 |
+
"grad_norm": 1.797033667564392,
|
91 |
+
"learning_rate": 2.2000000000000003e-05,
|
92 |
+
"loss": 2.4743,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.010329757647993643,
|
97 |
+
"grad_norm": 2.222118616104126,
|
98 |
+
"learning_rate": 2.4e-05,
|
99 |
+
"loss": 2.3,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.011124354390147001,
|
104 |
+
"grad_norm": 2.0043039321899414,
|
105 |
+
"learning_rate": 2.6000000000000002e-05,
|
106 |
+
"loss": 2.1184,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.011918951132300357,
|
111 |
+
"grad_norm": 2.0246055126190186,
|
112 |
+
"learning_rate": 2.8000000000000003e-05,
|
113 |
+
"loss": 2.159,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.012713547874453715,
|
118 |
+
"grad_norm": 9.5096435546875,
|
119 |
+
"learning_rate": 3e-05,
|
120 |
+
"loss": 3.0276,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.013508144616607072,
|
125 |
+
"grad_norm": 2.858501672744751,
|
126 |
+
"learning_rate": 3.2000000000000005e-05,
|
127 |
+
"loss": 2.4969,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.014302741358760428,
|
132 |
+
"grad_norm": 10.519010543823242,
|
133 |
+
"learning_rate": 3.4000000000000007e-05,
|
134 |
+
"loss": 2.9221,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.015097338100913786,
|
139 |
+
"grad_norm": 2.304163932800293,
|
140 |
+
"learning_rate": 3.6e-05,
|
141 |
+
"loss": 2.4857,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.015891934843067144,
|
146 |
+
"grad_norm": 2.059422731399536,
|
147 |
+
"learning_rate": 3.8e-05,
|
148 |
+
"loss": 2.2824,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.0166865315852205,
|
153 |
+
"grad_norm": 2.584183692932129,
|
154 |
+
"learning_rate": 4e-05,
|
155 |
+
"loss": 2.2176,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.01748112832737386,
|
160 |
+
"grad_norm": 3.7771871089935303,
|
161 |
+
"learning_rate": 4.2e-05,
|
162 |
+
"loss": 2.9221,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.018275725069527213,
|
167 |
+
"grad_norm": 1.889650583267212,
|
168 |
+
"learning_rate": 4.4000000000000006e-05,
|
169 |
+
"loss": 2.3082,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.01907032181168057,
|
174 |
+
"grad_norm": 3.319291353225708,
|
175 |
+
"learning_rate": 4.600000000000001e-05,
|
176 |
+
"loss": 2.19,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.01986491855383393,
|
181 |
+
"grad_norm": 4.1281352043151855,
|
182 |
+
"learning_rate": 4.8e-05,
|
183 |
+
"loss": 2.1096,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.020659515295987287,
|
188 |
+
"grad_norm": 2.4024288654327393,
|
189 |
+
"learning_rate": 5e-05,
|
190 |
+
"loss": 2.208,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.021454112038140644,
|
195 |
+
"grad_norm": 15.567670822143555,
|
196 |
+
"learning_rate": 5.2000000000000004e-05,
|
197 |
+
"loss": 2.4704,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.022248708780294002,
|
202 |
+
"grad_norm": 2.64872145652771,
|
203 |
+
"learning_rate": 5.4000000000000005e-05,
|
204 |
+
"loss": 2.1112,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.023043305522447356,
|
209 |
+
"grad_norm": 6.033721446990967,
|
210 |
+
"learning_rate": 5.6000000000000006e-05,
|
211 |
+
"loss": 2.7668,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.023837902264600714,
|
216 |
+
"grad_norm": 2.7915563583374023,
|
217 |
+
"learning_rate": 5.8e-05,
|
218 |
+
"loss": 2.1103,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.02463249900675407,
|
223 |
+
"grad_norm": 2.611234664916992,
|
224 |
+
"learning_rate": 6e-05,
|
225 |
+
"loss": 2.038,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.02542709574890743,
|
230 |
+
"grad_norm": 2.3000996112823486,
|
231 |
+
"learning_rate": 6.2e-05,
|
232 |
+
"loss": 1.6268,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.026221692491060787,
|
237 |
+
"grad_norm": 3.713061571121216,
|
238 |
+
"learning_rate": 6.400000000000001e-05,
|
239 |
+
"loss": 1.9121,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.027016289233214145,
|
244 |
+
"grad_norm": 2.776019811630249,
|
245 |
+
"learning_rate": 6.6e-05,
|
246 |
+
"loss": 1.817,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.027810885975367503,
|
251 |
+
"grad_norm": 2.564723491668701,
|
252 |
+
"learning_rate": 6.800000000000001e-05,
|
253 |
+
"loss": 1.9355,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.028605482717520857,
|
258 |
+
"grad_norm": 6.116189002990723,
|
259 |
+
"learning_rate": 7e-05,
|
260 |
+
"loss": 1.7766,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.029400079459674214,
|
265 |
+
"grad_norm": 2.6253204345703125,
|
266 |
+
"learning_rate": 7.2e-05,
|
267 |
+
"loss": 1.7565,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.030194676201827572,
|
272 |
+
"grad_norm": 2.706721544265747,
|
273 |
+
"learning_rate": 7.4e-05,
|
274 |
+
"loss": 1.9456,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.03098927294398093,
|
279 |
+
"grad_norm": 2.7343411445617676,
|
280 |
+
"learning_rate": 7.6e-05,
|
281 |
+
"loss": 1.6768,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.03178386968613429,
|
286 |
+
"grad_norm": 2.1730287075042725,
|
287 |
+
"learning_rate": 7.800000000000001e-05,
|
288 |
+
"loss": 1.4658,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.03257846642828764,
|
293 |
+
"grad_norm": 2.681889295578003,
|
294 |
+
"learning_rate": 8e-05,
|
295 |
+
"loss": 1.5583,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.033373063170441,
|
300 |
+
"grad_norm": 2.6841020584106445,
|
301 |
+
"learning_rate": 8.2e-05,
|
302 |
+
"loss": 1.6734,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.03416765991259436,
|
307 |
+
"grad_norm": 3.1267893314361572,
|
308 |
+
"learning_rate": 8.4e-05,
|
309 |
+
"loss": 1.6114,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.03496225665474772,
|
314 |
+
"grad_norm": 3.066925525665283,
|
315 |
+
"learning_rate": 8.6e-05,
|
316 |
+
"loss": 1.558,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.03575685339690107,
|
321 |
+
"grad_norm": 2.6647801399230957,
|
322 |
+
"learning_rate": 8.800000000000001e-05,
|
323 |
+
"loss": 1.4592,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.03655145013905443,
|
328 |
+
"grad_norm": 2.6715352535247803,
|
329 |
+
"learning_rate": 9e-05,
|
330 |
+
"loss": 1.4846,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.03734604688120779,
|
335 |
+
"grad_norm": 8.9569091796875,
|
336 |
+
"learning_rate": 9.200000000000001e-05,
|
337 |
+
"loss": 1.7494,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.03814064362336114,
|
342 |
+
"grad_norm": 2.7488503456115723,
|
343 |
+
"learning_rate": 9.4e-05,
|
344 |
+
"loss": 1.2653,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.038935240365514504,
|
349 |
+
"grad_norm": 2.520211696624756,
|
350 |
+
"learning_rate": 9.6e-05,
|
351 |
+
"loss": 1.2965,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.03972983710766786,
|
356 |
+
"grad_norm": 2.678025960922241,
|
357 |
+
"learning_rate": 9.8e-05,
|
358 |
+
"loss": 1.199,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.04052443384982122,
|
363 |
+
"grad_norm": 2.6799986362457275,
|
364 |
+
"learning_rate": 0.0001,
|
365 |
+
"loss": 1.2672,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.04131903059197457,
|
370 |
+
"grad_norm": 2.907582998275757,
|
371 |
+
"learning_rate": 0.00010200000000000001,
|
372 |
+
"loss": 1.3114,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.04211362733412793,
|
377 |
+
"grad_norm": 2.7622241973876953,
|
378 |
+
"learning_rate": 0.00010400000000000001,
|
379 |
+
"loss": 1.2173,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.04290822407628129,
|
384 |
+
"grad_norm": 3.829127550125122,
|
385 |
+
"learning_rate": 0.00010600000000000002,
|
386 |
+
"loss": 1.2657,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.04370282081843464,
|
391 |
+
"grad_norm": 4.464277267456055,
|
392 |
+
"learning_rate": 0.00010800000000000001,
|
393 |
+
"loss": 1.3206,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.044497417560588004,
|
398 |
+
"grad_norm": 2.5400142669677734,
|
399 |
+
"learning_rate": 0.00011000000000000002,
|
400 |
+
"loss": 1.1097,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.04529201430274136,
|
405 |
+
"grad_norm": 2.6496193408966064,
|
406 |
+
"learning_rate": 0.00011200000000000001,
|
407 |
+
"loss": 1.097,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.04608661104489471,
|
412 |
+
"grad_norm": 4.215746879577637,
|
413 |
+
"learning_rate": 0.00011399999999999999,
|
414 |
+
"loss": 1.1642,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.046881207787048074,
|
419 |
+
"grad_norm": 2.93621826171875,
|
420 |
+
"learning_rate": 0.000116,
|
421 |
+
"loss": 1.2385,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.04767580452920143,
|
426 |
+
"grad_norm": 10.44421672821045,
|
427 |
+
"learning_rate": 0.000118,
|
428 |
+
"loss": 1.1682,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.04847040127135479,
|
433 |
+
"grad_norm": 3.617307424545288,
|
434 |
+
"learning_rate": 0.00012,
|
435 |
+
"loss": 1.3271,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.04926499801350814,
|
440 |
+
"grad_norm": 2.5892326831817627,
|
441 |
+
"learning_rate": 0.000122,
|
442 |
+
"loss": 0.9714,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.050059594755661505,
|
447 |
+
"grad_norm": NaN,
|
448 |
+
"learning_rate": 0.000122,
|
449 |
+
"loss": 1.2764,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.05085419149781486,
|
454 |
+
"grad_norm": 2.9196863174438477,
|
455 |
+
"learning_rate": 0.000124,
|
456 |
+
"loss": 1.1406,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.05164878823996821,
|
461 |
+
"grad_norm": 4.006603717803955,
|
462 |
+
"learning_rate": 0.000126,
|
463 |
+
"loss": 0.9797,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.052443384982121574,
|
468 |
+
"grad_norm": 2.5575106143951416,
|
469 |
+
"learning_rate": 0.00012800000000000002,
|
470 |
+
"loss": 1.2092,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.05323798172427493,
|
475 |
+
"grad_norm": 3.1613786220550537,
|
476 |
+
"learning_rate": 0.00013000000000000002,
|
477 |
+
"loss": 1.2598,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.05403257846642829,
|
482 |
+
"grad_norm": 2.542789936065674,
|
483 |
+
"learning_rate": 0.000132,
|
484 |
+
"loss": 0.9497,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.054827175208581644,
|
489 |
+
"grad_norm": 2.4051780700683594,
|
490 |
+
"learning_rate": 0.000134,
|
491 |
+
"loss": 0.7992,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.055621771950735005,
|
496 |
+
"grad_norm": 51.893409729003906,
|
497 |
+
"learning_rate": 0.00013600000000000003,
|
498 |
+
"loss": 0.9683,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.05641636869288836,
|
503 |
+
"grad_norm": 4.105207920074463,
|
504 |
+
"learning_rate": 0.000138,
|
505 |
+
"loss": 1.0815,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.057210965435041714,
|
510 |
+
"grad_norm": 92.10639190673828,
|
511 |
+
"learning_rate": 0.00014,
|
512 |
+
"loss": 1.1767,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.058005562177195075,
|
517 |
+
"grad_norm": 2.4499878883361816,
|
518 |
+
"learning_rate": 0.000142,
|
519 |
+
"loss": 0.8912,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.05880015891934843,
|
524 |
+
"grad_norm": 2.4928042888641357,
|
525 |
+
"learning_rate": 0.000144,
|
526 |
+
"loss": 0.9457,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.05959475566150179,
|
531 |
+
"grad_norm": 2.761523485183716,
|
532 |
+
"learning_rate": 0.000146,
|
533 |
+
"loss": 0.9493,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.060389352403655144,
|
538 |
+
"grad_norm": 2.9320006370544434,
|
539 |
+
"learning_rate": 0.000148,
|
540 |
+
"loss": 0.9657,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.061183949145808506,
|
545 |
+
"grad_norm": 2.067227840423584,
|
546 |
+
"learning_rate": 0.00015000000000000001,
|
547 |
+
"loss": 0.8115,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.06197854588796186,
|
552 |
+
"grad_norm": 78.78492736816406,
|
553 |
+
"learning_rate": 0.000152,
|
554 |
+
"loss": 1.4676,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.06277314263011521,
|
559 |
+
"grad_norm": 2.335451364517212,
|
560 |
+
"learning_rate": 0.000154,
|
561 |
+
"loss": 0.9271,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.06356773937226858,
|
566 |
+
"grad_norm": 3.434222459793091,
|
567 |
+
"learning_rate": 0.00015600000000000002,
|
568 |
+
"loss": 0.8938,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.06436233611442194,
|
573 |
+
"grad_norm": 2.38944673538208,
|
574 |
+
"learning_rate": 0.00015800000000000002,
|
575 |
+
"loss": 0.9277,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.06515693285657528,
|
580 |
+
"grad_norm": 2.960742712020874,
|
581 |
+
"learning_rate": 0.00016,
|
582 |
+
"loss": 1.1237,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.06595152959872864,
|
587 |
+
"grad_norm": 2.1033873558044434,
|
588 |
+
"learning_rate": 0.000162,
|
589 |
+
"loss": 0.8095,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.066746126340882,
|
594 |
+
"grad_norm": 2.611531972885132,
|
595 |
+
"learning_rate": 0.000164,
|
596 |
+
"loss": 0.927,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.06754072308303535,
|
601 |
+
"grad_norm": 2.9163801670074463,
|
602 |
+
"learning_rate": 0.000166,
|
603 |
+
"loss": 0.8363,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.06833531982518871,
|
608 |
+
"grad_norm": 2.6492106914520264,
|
609 |
+
"learning_rate": 0.000168,
|
610 |
+
"loss": 0.9831,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.06912991656734208,
|
615 |
+
"grad_norm": 2.027588367462158,
|
616 |
+
"learning_rate": 0.00017,
|
617 |
+
"loss": 0.8676,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.06992451330949544,
|
622 |
+
"grad_norm": 2.7688043117523193,
|
623 |
+
"learning_rate": 0.000172,
|
624 |
+
"loss": 1.1266,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.07071911005164878,
|
629 |
+
"grad_norm": 2.4787685871124268,
|
630 |
+
"learning_rate": 0.000174,
|
631 |
+
"loss": 0.8832,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.07151370679380215,
|
636 |
+
"grad_norm": 5.127519130706787,
|
637 |
+
"learning_rate": 0.00017600000000000002,
|
638 |
+
"loss": 0.8945,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.0723083035359555,
|
643 |
+
"grad_norm": 3.4531705379486084,
|
644 |
+
"learning_rate": 0.00017800000000000002,
|
645 |
+
"loss": 1.1205,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.07310290027810885,
|
650 |
+
"grad_norm": 2.749129056930542,
|
651 |
+
"learning_rate": 0.00018,
|
652 |
+
"loss": 1.019,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.07389749702026222,
|
657 |
+
"grad_norm": Infinity,
|
658 |
+
"learning_rate": 0.00018,
|
659 |
+
"loss": 1.3832,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.07469209376241558,
|
664 |
+
"grad_norm": 2.6057441234588623,
|
665 |
+
"learning_rate": 0.000182,
|
666 |
+
"loss": 1.1318,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.07548669050456894,
|
671 |
+
"grad_norm": 4.503351211547852,
|
672 |
+
"learning_rate": 0.00018400000000000003,
|
673 |
+
"loss": 1.033,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.07628128724672228,
|
678 |
+
"grad_norm": 2.7054409980773926,
|
679 |
+
"learning_rate": 0.00018600000000000002,
|
680 |
+
"loss": 0.9466,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.07707588398887565,
|
685 |
+
"grad_norm": 2.1828339099884033,
|
686 |
+
"learning_rate": 0.000188,
|
687 |
+
"loss": 0.8253,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.07787048073102901,
|
692 |
+
"grad_norm": 2.062911033630371,
|
693 |
+
"learning_rate": 0.00019,
|
694 |
+
"loss": 0.8997,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.07866507747318235,
|
699 |
+
"grad_norm": 2.1747360229492188,
|
700 |
+
"learning_rate": 0.000192,
|
701 |
+
"loss": 0.928,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.07945967421533572,
|
706 |
+
"grad_norm": 2.3616063594818115,
|
707 |
+
"learning_rate": 0.000194,
|
708 |
+
"loss": 0.8595,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.08025427095748908,
|
713 |
+
"grad_norm": 2.007453203201294,
|
714 |
+
"learning_rate": 0.000196,
|
715 |
+
"loss": 0.9071,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.08104886769964244,
|
720 |
+
"grad_norm": 2.822878837585449,
|
721 |
+
"learning_rate": 0.00019800000000000002,
|
722 |
+
"loss": 1.1856,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.08184346444179579,
|
727 |
+
"grad_norm": 2.162837505340576,
|
728 |
+
"learning_rate": 0.0002,
|
729 |
+
"loss": 1.0198,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.08263806118394915,
|
734 |
+
"grad_norm": 2.004056453704834,
|
735 |
+
"learning_rate": 0.00019800000000000002,
|
736 |
+
"loss": 0.8352,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.08343265792610251,
|
741 |
+
"grad_norm": 2.5484063625335693,
|
742 |
+
"learning_rate": 0.000196,
|
743 |
+
"loss": 1.0226,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.08422725466825585,
|
748 |
+
"grad_norm": 2.2759130001068115,
|
749 |
+
"learning_rate": 0.000194,
|
750 |
+
"loss": 0.8884,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.08502185141040922,
|
755 |
+
"grad_norm": 2.4136946201324463,
|
756 |
+
"learning_rate": 0.000192,
|
757 |
+
"loss": 0.8374,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.08581644815256258,
|
762 |
+
"grad_norm": 2.8566195964813232,
|
763 |
+
"learning_rate": 0.00019,
|
764 |
+
"loss": 0.9112,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.08661104489471594,
|
769 |
+
"grad_norm": 2.241708755493164,
|
770 |
+
"learning_rate": 0.000188,
|
771 |
+
"loss": 0.8695,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.08740564163686929,
|
776 |
+
"grad_norm": 2.1674909591674805,
|
777 |
+
"learning_rate": 0.00018600000000000002,
|
778 |
+
"loss": 0.708,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.08820023837902265,
|
783 |
+
"grad_norm": 3.16097092628479,
|
784 |
+
"learning_rate": 0.00018400000000000003,
|
785 |
+
"loss": 1.0946,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.08899483512117601,
|
790 |
+
"grad_norm": 2.7531492710113525,
|
791 |
+
"learning_rate": 0.000182,
|
792 |
+
"loss": 0.8907,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.08978943186332936,
|
797 |
+
"grad_norm": 2.3830761909484863,
|
798 |
+
"learning_rate": 0.00018,
|
799 |
+
"loss": 0.9243,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.09058402860548272,
|
804 |
+
"grad_norm": 27.347421646118164,
|
805 |
+
"learning_rate": 0.00017800000000000002,
|
806 |
+
"loss": 1.0328,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.09137862534763608,
|
811 |
+
"grad_norm": 2.1043972969055176,
|
812 |
+
"learning_rate": 0.00017600000000000002,
|
813 |
+
"loss": 0.9195,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.09217322208978942,
|
818 |
+
"grad_norm": 1.9787133932113647,
|
819 |
+
"learning_rate": 0.000174,
|
820 |
+
"loss": 0.7395,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.09296781883194279,
|
825 |
+
"grad_norm": 2.395308256149292,
|
826 |
+
"learning_rate": 0.000172,
|
827 |
+
"loss": 1.0193,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.09376241557409615,
|
832 |
+
"grad_norm": 1.9864846467971802,
|
833 |
+
"learning_rate": 0.00017,
|
834 |
+
"loss": 0.948,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.09455701231624951,
|
839 |
+
"grad_norm": 2.823315382003784,
|
840 |
+
"learning_rate": 0.000168,
|
841 |
+
"loss": 1.0902,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.09535160905840286,
|
846 |
+
"grad_norm": 2.5823678970336914,
|
847 |
+
"learning_rate": 0.000166,
|
848 |
+
"loss": 1.0905,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.09614620580055622,
|
853 |
+
"grad_norm": 1.8948626518249512,
|
854 |
+
"learning_rate": 0.000164,
|
855 |
+
"loss": 0.9203,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.09694080254270958,
|
860 |
+
"grad_norm": 1.9721623659133911,
|
861 |
+
"learning_rate": 0.000162,
|
862 |
+
"loss": 0.9591,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.09773539928486293,
|
867 |
+
"grad_norm": 1.9776030778884888,
|
868 |
+
"learning_rate": 0.00016,
|
869 |
+
"loss": 0.9887,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.09852999602701629,
|
874 |
+
"grad_norm": 2.8131155967712402,
|
875 |
+
"learning_rate": 0.00015800000000000002,
|
876 |
+
"loss": 1.0197,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.09932459276916965,
|
881 |
+
"grad_norm": 2.0642547607421875,
|
882 |
+
"learning_rate": 0.00015600000000000002,
|
883 |
+
"loss": 0.9931,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.10011918951132301,
|
888 |
+
"grad_norm": 2.9410674571990967,
|
889 |
+
"learning_rate": 0.000154,
|
890 |
+
"loss": 1.3742,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.10091378625347636,
|
895 |
+
"grad_norm": 2.1221704483032227,
|
896 |
+
"learning_rate": 0.000152,
|
897 |
+
"loss": 1.0526,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.10170838299562972,
|
902 |
+
"grad_norm": 2.831902503967285,
|
903 |
+
"learning_rate": 0.00015000000000000001,
|
904 |
+
"loss": 0.8048,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.10250297973778308,
|
909 |
+
"grad_norm": 2.066681146621704,
|
910 |
+
"learning_rate": 0.000148,
|
911 |
+
"loss": 0.985,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.10329757647993643,
|
916 |
+
"grad_norm": 1.8252568244934082,
|
917 |
+
"learning_rate": 0.000146,
|
918 |
+
"loss": 0.7689,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.10409217322208979,
|
923 |
+
"grad_norm": 2.0231878757476807,
|
924 |
+
"learning_rate": 0.000144,
|
925 |
+
"loss": 1.0247,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.10488676996424315,
|
930 |
+
"grad_norm": 2.200442314147949,
|
931 |
+
"learning_rate": 0.000142,
|
932 |
+
"loss": 0.8775,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.10568136670639651,
|
937 |
+
"grad_norm": 1.7937211990356445,
|
938 |
+
"learning_rate": 0.00014,
|
939 |
+
"loss": 0.9357,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.10647596344854986,
|
944 |
+
"grad_norm": 1.685763955116272,
|
945 |
+
"learning_rate": 0.000138,
|
946 |
+
"loss": 0.8664,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.10727056019070322,
|
951 |
+
"grad_norm": 1.9033604860305786,
|
952 |
+
"learning_rate": 0.00013600000000000003,
|
953 |
+
"loss": 0.9793,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.10806515693285658,
|
958 |
+
"grad_norm": 1.8052781820297241,
|
959 |
+
"learning_rate": 0.000134,
|
960 |
+
"loss": 0.8154,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.10885975367500993,
|
965 |
+
"grad_norm": 2.400908946990967,
|
966 |
+
"learning_rate": 0.000132,
|
967 |
+
"loss": 0.9604,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.10965435041716329,
|
972 |
+
"grad_norm": 1.7619413137435913,
|
973 |
+
"learning_rate": 0.00013000000000000002,
|
974 |
+
"loss": 0.8187,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.11044894715931665,
|
979 |
+
"grad_norm": 1.8535854816436768,
|
980 |
+
"learning_rate": 0.00012800000000000002,
|
981 |
+
"loss": 0.9487,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.11124354390147001,
|
986 |
+
"grad_norm": 1.8936333656311035,
|
987 |
+
"learning_rate": 0.000126,
|
988 |
+
"loss": 0.9852,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.11203814064362336,
|
993 |
+
"grad_norm": 1.821515440940857,
|
994 |
+
"learning_rate": 0.000124,
|
995 |
+
"loss": 0.8442,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.11283273738577672,
|
1000 |
+
"grad_norm": 2.1713123321533203,
|
1001 |
+
"learning_rate": 0.000122,
|
1002 |
+
"loss": 1.1723,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.11362733412793008,
|
1007 |
+
"grad_norm": 1.6912201642990112,
|
1008 |
+
"learning_rate": 0.00012,
|
1009 |
+
"loss": 0.7486,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.11442193087008343,
|
1014 |
+
"grad_norm": 1.630624532699585,
|
1015 |
+
"learning_rate": 0.000118,
|
1016 |
+
"loss": 0.7462,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.11521652761223679,
|
1021 |
+
"grad_norm": 2.0852651596069336,
|
1022 |
+
"learning_rate": 0.000116,
|
1023 |
+
"loss": 0.7821,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.11601112435439015,
|
1028 |
+
"grad_norm": 1.5113400220870972,
|
1029 |
+
"learning_rate": 0.00011399999999999999,
|
1030 |
+
"loss": 0.7768,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.11680572109654351,
|
1035 |
+
"grad_norm": 1.9536205530166626,
|
1036 |
+
"learning_rate": 0.00011200000000000001,
|
1037 |
+
"loss": 0.9478,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.11760031783869686,
|
1042 |
+
"grad_norm": 1.8963311910629272,
|
1043 |
+
"learning_rate": 0.00011000000000000002,
|
1044 |
+
"loss": 0.9085,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.11839491458085022,
|
1049 |
+
"grad_norm": 1.8368561267852783,
|
1050 |
+
"learning_rate": 0.00010800000000000001,
|
1051 |
+
"loss": 0.757,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.11918951132300358,
|
1056 |
+
"grad_norm": 2.7951648235321045,
|
1057 |
+
"learning_rate": 0.00010600000000000002,
|
1058 |
+
"loss": 1.0677,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.11998410806515693,
|
1063 |
+
"grad_norm": 2.015962839126587,
|
1064 |
+
"learning_rate": 0.00010400000000000001,
|
1065 |
+
"loss": 0.7874,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.12077870480731029,
|
1070 |
+
"grad_norm": 2.661062479019165,
|
1071 |
+
"learning_rate": 0.00010200000000000001,
|
1072 |
+
"loss": 0.9311,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.12157330154946365,
|
1077 |
+
"grad_norm": 2.020232677459717,
|
1078 |
+
"learning_rate": 0.0001,
|
1079 |
+
"loss": 0.7958,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.12236789829161701,
|
1084 |
+
"grad_norm": 2.5150179862976074,
|
1085 |
+
"learning_rate": 9.8e-05,
|
1086 |
+
"loss": 0.8354,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.12316249503377036,
|
1091 |
+
"grad_norm": 1.65029776096344,
|
1092 |
+
"learning_rate": 9.6e-05,
|
1093 |
+
"loss": 0.8512,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.12395709177592372,
|
1098 |
+
"grad_norm": 2.004103183746338,
|
1099 |
+
"learning_rate": 9.4e-05,
|
1100 |
+
"loss": 0.7002,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.12475168851807708,
|
1105 |
+
"grad_norm": 2.198091506958008,
|
1106 |
+
"learning_rate": 9.200000000000001e-05,
|
1107 |
+
"loss": 0.8539,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.12554628526023043,
|
1112 |
+
"grad_norm": 2.1458988189697266,
|
1113 |
+
"learning_rate": 9e-05,
|
1114 |
+
"loss": 1.1292,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.1263408820023838,
|
1119 |
+
"grad_norm": 1.7759689092636108,
|
1120 |
+
"learning_rate": 8.800000000000001e-05,
|
1121 |
+
"loss": 0.8792,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.12713547874453715,
|
1126 |
+
"grad_norm": 2.0215320587158203,
|
1127 |
+
"learning_rate": 8.6e-05,
|
1128 |
+
"loss": 0.9206,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.1279300754866905,
|
1133 |
+
"grad_norm": 2.324572801589966,
|
1134 |
+
"learning_rate": 8.4e-05,
|
1135 |
+
"loss": 1.0041,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.12872467222884387,
|
1140 |
+
"grad_norm": 2.3949570655822754,
|
1141 |
+
"learning_rate": 8.2e-05,
|
1142 |
+
"loss": 0.7894,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.12951926897099722,
|
1147 |
+
"grad_norm": 1.8736156225204468,
|
1148 |
+
"learning_rate": 8e-05,
|
1149 |
+
"loss": 0.8928,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.13031386571315057,
|
1154 |
+
"grad_norm": 2.373562812805176,
|
1155 |
+
"learning_rate": 7.800000000000001e-05,
|
1156 |
+
"loss": 0.8739,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.13110846245530394,
|
1161 |
+
"grad_norm": 1.6126917600631714,
|
1162 |
+
"learning_rate": 7.6e-05,
|
1163 |
+
"loss": 0.6292,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.1319030591974573,
|
1168 |
+
"grad_norm": 2.6151697635650635,
|
1169 |
+
"learning_rate": 7.4e-05,
|
1170 |
+
"loss": 1.2176,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.13269765593961064,
|
1175 |
+
"grad_norm": 1.883436918258667,
|
1176 |
+
"learning_rate": 7.2e-05,
|
1177 |
+
"loss": 0.7664,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.133492252681764,
|
1182 |
+
"grad_norm": 2.2091007232666016,
|
1183 |
+
"learning_rate": 7e-05,
|
1184 |
+
"loss": 0.9501,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.13428684942391736,
|
1189 |
+
"grad_norm": 1.903889775276184,
|
1190 |
+
"learning_rate": 6.800000000000001e-05,
|
1191 |
+
"loss": 0.9322,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.1350814461660707,
|
1196 |
+
"grad_norm": 1.9040536880493164,
|
1197 |
+
"learning_rate": 6.6e-05,
|
1198 |
+
"loss": 0.851,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.13587604290822408,
|
1203 |
+
"grad_norm": 1.7239336967468262,
|
1204 |
+
"learning_rate": 6.400000000000001e-05,
|
1205 |
+
"loss": 0.9033,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.13667063965037743,
|
1210 |
+
"grad_norm": 3.3629558086395264,
|
1211 |
+
"learning_rate": 6.2e-05,
|
1212 |
+
"loss": 0.918,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.1374652363925308,
|
1217 |
+
"grad_norm": 1.9918290376663208,
|
1218 |
+
"learning_rate": 6e-05,
|
1219 |
+
"loss": 0.8825,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.13825983313468415,
|
1224 |
+
"grad_norm": 2.3540871143341064,
|
1225 |
+
"learning_rate": 5.8e-05,
|
1226 |
+
"loss": 0.6484,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.1390544298768375,
|
1231 |
+
"grad_norm": 2.2806777954101562,
|
1232 |
+
"learning_rate": 5.6000000000000006e-05,
|
1233 |
+
"loss": 0.7137,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.13984902661899087,
|
1238 |
+
"grad_norm": 2.21384334564209,
|
1239 |
+
"learning_rate": 5.4000000000000005e-05,
|
1240 |
+
"loss": 0.5965,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.14064362336114422,
|
1245 |
+
"grad_norm": 1.9977487325668335,
|
1246 |
+
"learning_rate": 5.2000000000000004e-05,
|
1247 |
+
"loss": 0.7671,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.14143822010329757,
|
1252 |
+
"grad_norm": 31.215999603271484,
|
1253 |
+
"learning_rate": 5e-05,
|
1254 |
+
"loss": 0.9116,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.14223281684545094,
|
1259 |
+
"grad_norm": 2.2257730960845947,
|
1260 |
+
"learning_rate": 4.8e-05,
|
1261 |
+
"loss": 0.8838,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.1430274135876043,
|
1266 |
+
"grad_norm": 2.9200854301452637,
|
1267 |
+
"learning_rate": 4.600000000000001e-05,
|
1268 |
+
"loss": 0.9615,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.14382201032975764,
|
1273 |
+
"grad_norm": 2.2704315185546875,
|
1274 |
+
"learning_rate": 4.4000000000000006e-05,
|
1275 |
+
"loss": 1.0132,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.144616607071911,
|
1280 |
+
"grad_norm": 2.058189868927002,
|
1281 |
+
"learning_rate": 4.2e-05,
|
1282 |
+
"loss": 0.8201,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.14541120381406436,
|
1287 |
+
"grad_norm": 1.7903186082839966,
|
1288 |
+
"learning_rate": 4e-05,
|
1289 |
+
"loss": 0.7128,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.1462058005562177,
|
1294 |
+
"grad_norm": 1.9608381986618042,
|
1295 |
+
"learning_rate": 3.8e-05,
|
1296 |
+
"loss": 0.8236,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.14700039729837108,
|
1301 |
+
"grad_norm": 2.1937220096588135,
|
1302 |
+
"learning_rate": 3.6e-05,
|
1303 |
+
"loss": 0.8442,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.14779499404052443,
|
1308 |
+
"grad_norm": 2.047407627105713,
|
1309 |
+
"learning_rate": 3.4000000000000007e-05,
|
1310 |
+
"loss": 0.966,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.14858959078267778,
|
1315 |
+
"grad_norm": 2.0216119289398193,
|
1316 |
+
"learning_rate": 3.2000000000000005e-05,
|
1317 |
+
"loss": 0.9564,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.14938418752483115,
|
1322 |
+
"grad_norm": 1.629753589630127,
|
1323 |
+
"learning_rate": 3e-05,
|
1324 |
+
"loss": 0.6504,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.1501787842669845,
|
1329 |
+
"grad_norm": 1.7381154298782349,
|
1330 |
+
"learning_rate": 2.8000000000000003e-05,
|
1331 |
+
"loss": 0.8346,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.15097338100913787,
|
1336 |
+
"grad_norm": 2.1300833225250244,
|
1337 |
+
"learning_rate": 2.6000000000000002e-05,
|
1338 |
+
"loss": 0.8631,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.15176797775129122,
|
1343 |
+
"grad_norm": 1.8977206945419312,
|
1344 |
+
"learning_rate": 2.4e-05,
|
1345 |
+
"loss": 0.8653,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.15256257449344457,
|
1350 |
+
"grad_norm": 1.7362009286880493,
|
1351 |
+
"learning_rate": 2.2000000000000003e-05,
|
1352 |
+
"loss": 0.8278,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.15335717123559794,
|
1357 |
+
"grad_norm": 1.838982105255127,
|
1358 |
+
"learning_rate": 2e-05,
|
1359 |
+
"loss": 0.6521,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.1541517679777513,
|
1364 |
+
"grad_norm": 2.4685189723968506,
|
1365 |
+
"learning_rate": 1.8e-05,
|
1366 |
+
"loss": 0.9639,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.15494636471990464,
|
1371 |
+
"grad_norm": 1.8960801362991333,
|
1372 |
+
"learning_rate": 1.6000000000000003e-05,
|
1373 |
+
"loss": 0.7338,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.15574096146205801,
|
1378 |
+
"grad_norm": 2.139636993408203,
|
1379 |
+
"learning_rate": 1.4000000000000001e-05,
|
1380 |
+
"loss": 0.6774,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.15653555820421136,
|
1385 |
+
"grad_norm": 2.0349552631378174,
|
1386 |
+
"learning_rate": 1.2e-05,
|
1387 |
+
"loss": 0.8435,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.1573301549463647,
|
1392 |
+
"grad_norm": 1.5157055854797363,
|
1393 |
+
"learning_rate": 1e-05,
|
1394 |
+
"loss": 0.7087,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.15812475168851808,
|
1399 |
+
"grad_norm": 2.498692035675049,
|
1400 |
+
"learning_rate": 8.000000000000001e-06,
|
1401 |
+
"loss": 1.0298,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.15891934843067143,
|
1406 |
+
"grad_norm": 1.7967320680618286,
|
1407 |
+
"learning_rate": 6e-06,
|
1408 |
+
"loss": 0.7717,
|
1409 |
+
"step": 200
|
1410 |
+
}
|
1411 |
+
],
|
1412 |
+
"logging_steps": 1,
|
1413 |
+
"max_steps": 200,
|
1414 |
+
"num_input_tokens_seen": 0,
|
1415 |
+
"num_train_epochs": 1,
|
1416 |
+
"save_steps": 500,
|
1417 |
+
"stateful_callbacks": {
|
1418 |
+
"TrainerControl": {
|
1419 |
+
"args": {
|
1420 |
+
"should_epoch_stop": false,
|
1421 |
+
"should_evaluate": false,
|
1422 |
+
"should_log": false,
|
1423 |
+
"should_save": true,
|
1424 |
+
"should_training_stop": true
|
1425 |
+
},
|
1426 |
+
"attributes": {}
|
1427 |
+
}
|
1428 |
+
},
|
1429 |
+
"total_flos": 2473157095243776.0,
|
1430 |
+
"train_batch_size": 1,
|
1431 |
+
"trial_name": null,
|
1432 |
+
"trial_params": null
|
1433 |
+
}
|
checkpoint-200/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:098cc62850a9422967145f5b3c4822dcaa7f739cabac8d97cbe7d3678e81010e
|
3 |
+
size 5176
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:098cc62850a9422967145f5b3c4822dcaa7f739cabac8d97cbe7d3678e81010e
|
3 |
+
size 5176
|