Initial commit of model files
Browse files- README.md +202 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1188 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: HuggingFaceM4/idefics2-8b
|
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 0.11.1
|
adapter_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "Idefics2ForConditionalGeneration",
|
5 |
+
"parent_library": "transformers.models.idefics2.modeling_idefics2"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": "HuggingFaceM4/idefics2-8b",
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": "gaussian",
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 32,
|
17 |
+
"lora_dropout": 0.1,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": null,
|
21 |
+
"peft_type": "LORA",
|
22 |
+
"r": 8,
|
23 |
+
"rank_pattern": {},
|
24 |
+
"revision": null,
|
25 |
+
"target_modules": ".*(text_model|modality_projection|perceiver_resampler).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$",
|
26 |
+
"task_type": null,
|
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:b2882424882ba3d4e622500df4d9563d9401504b8c037c1c4d198b6a1e0ae273
|
3 |
+
size 93378688
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:61e49a0788248526d035cf5eeddab23d77e97c42f9e2b8bff70a4b70266f41d1
|
3 |
+
size 187031330
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1873e2e6069142f35365ea90dca87dce2f02dd53cd5e2815f7dd8c5f7c02d949
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:55e19e687a9b7910275866d991fcfe55cd58f1c03161d20cda1b18a44f3b5273
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,1188 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 4145,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.030156815440289506,
|
13 |
+
"grad_norm": Infinity,
|
14 |
+
"learning_rate": 4.2e-05,
|
15 |
+
"loss": 4.6298,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.06031363088057901,
|
20 |
+
"grad_norm": 40.83469772338867,
|
21 |
+
"learning_rate": 9.200000000000001e-05,
|
22 |
+
"loss": 0.6127,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.09047044632086852,
|
27 |
+
"grad_norm": 79.89573669433594,
|
28 |
+
"learning_rate": 9.948717948717949e-05,
|
29 |
+
"loss": 0.7524,
|
30 |
+
"step": 75
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.12062726176115803,
|
34 |
+
"grad_norm": 446.1002502441406,
|
35 |
+
"learning_rate": 9.89010989010989e-05,
|
36 |
+
"loss": 1.0178,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.15078407720144751,
|
41 |
+
"grad_norm": 128.81219482421875,
|
42 |
+
"learning_rate": 9.829059829059829e-05,
|
43 |
+
"loss": 1.834,
|
44 |
+
"step": 125
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.18094089264173704,
|
48 |
+
"grad_norm": 37.102203369140625,
|
49 |
+
"learning_rate": 9.768009768009768e-05,
|
50 |
+
"loss": 1.7381,
|
51 |
+
"step": 150
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.21109770808202655,
|
55 |
+
"grad_norm": 31.156801223754883,
|
56 |
+
"learning_rate": 9.706959706959707e-05,
|
57 |
+
"loss": 1.3946,
|
58 |
+
"step": 175
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.24125452352231605,
|
62 |
+
"grad_norm": 37.00471115112305,
|
63 |
+
"learning_rate": 9.645909645909647e-05,
|
64 |
+
"loss": 1.2038,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.27141133896260555,
|
69 |
+
"grad_norm": 26.962158203125,
|
70 |
+
"learning_rate": 9.584859584859585e-05,
|
71 |
+
"loss": 1.1359,
|
72 |
+
"step": 225
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.30156815440289503,
|
76 |
+
"grad_norm": 32.251277923583984,
|
77 |
+
"learning_rate": 9.523809523809524e-05,
|
78 |
+
"loss": 1.112,
|
79 |
+
"step": 250
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.33172496984318456,
|
83 |
+
"grad_norm": 26.48785972595215,
|
84 |
+
"learning_rate": 9.462759462759463e-05,
|
85 |
+
"loss": 1.071,
|
86 |
+
"step": 275
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.3618817852834741,
|
90 |
+
"grad_norm": 18.70881462097168,
|
91 |
+
"learning_rate": 9.401709401709401e-05,
|
92 |
+
"loss": 1.0259,
|
93 |
+
"step": 300
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.39203860072376356,
|
97 |
+
"grad_norm": 21.082536697387695,
|
98 |
+
"learning_rate": 9.340659340659341e-05,
|
99 |
+
"loss": 1.0232,
|
100 |
+
"step": 325
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.4221954161640531,
|
104 |
+
"grad_norm": 18.735260009765625,
|
105 |
+
"learning_rate": 9.27960927960928e-05,
|
106 |
+
"loss": 1.0632,
|
107 |
+
"step": 350
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.45235223160434257,
|
111 |
+
"grad_norm": 22.869077682495117,
|
112 |
+
"learning_rate": 9.218559218559219e-05,
|
113 |
+
"loss": 1.0362,
|
114 |
+
"step": 375
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.4825090470446321,
|
118 |
+
"grad_norm": 19.3148250579834,
|
119 |
+
"learning_rate": 9.157509157509158e-05,
|
120 |
+
"loss": 0.9837,
|
121 |
+
"step": 400
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.5126658624849216,
|
125 |
+
"grad_norm": 15.154926300048828,
|
126 |
+
"learning_rate": 9.096459096459096e-05,
|
127 |
+
"loss": 0.957,
|
128 |
+
"step": 425
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.5428226779252111,
|
132 |
+
"grad_norm": 15.833111763000488,
|
133 |
+
"learning_rate": 9.035409035409036e-05,
|
134 |
+
"loss": 0.9336,
|
135 |
+
"step": 450
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.5729794933655006,
|
139 |
+
"grad_norm": 21.135068893432617,
|
140 |
+
"learning_rate": 8.974358974358975e-05,
|
141 |
+
"loss": 0.9431,
|
142 |
+
"step": 475
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.6031363088057901,
|
146 |
+
"grad_norm": 17.726829528808594,
|
147 |
+
"learning_rate": 8.913308913308915e-05,
|
148 |
+
"loss": 0.9775,
|
149 |
+
"step": 500
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.6332931242460796,
|
153 |
+
"grad_norm": 25.220857620239258,
|
154 |
+
"learning_rate": 8.852258852258852e-05,
|
155 |
+
"loss": 1.0455,
|
156 |
+
"step": 525
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.6634499396863691,
|
160 |
+
"grad_norm": 22.668001174926758,
|
161 |
+
"learning_rate": 8.791208791208791e-05,
|
162 |
+
"loss": 0.9617,
|
163 |
+
"step": 550
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.6936067551266586,
|
167 |
+
"grad_norm": 19.432435989379883,
|
168 |
+
"learning_rate": 8.730158730158731e-05,
|
169 |
+
"loss": 0.9314,
|
170 |
+
"step": 575
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.7237635705669482,
|
174 |
+
"grad_norm": 18.803312301635742,
|
175 |
+
"learning_rate": 8.66910866910867e-05,
|
176 |
+
"loss": 0.9559,
|
177 |
+
"step": 600
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.7539203860072377,
|
181 |
+
"grad_norm": 17.0799560546875,
|
182 |
+
"learning_rate": 8.608058608058608e-05,
|
183 |
+
"loss": 0.9768,
|
184 |
+
"step": 625
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.7840772014475271,
|
188 |
+
"grad_norm": 18.541135787963867,
|
189 |
+
"learning_rate": 8.547008547008547e-05,
|
190 |
+
"loss": 0.9384,
|
191 |
+
"step": 650
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.8142340168878166,
|
195 |
+
"grad_norm": 76.61760711669922,
|
196 |
+
"learning_rate": 8.485958485958486e-05,
|
197 |
+
"loss": 0.9088,
|
198 |
+
"step": 675
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.8443908323281062,
|
202 |
+
"grad_norm": 15.41170883178711,
|
203 |
+
"learning_rate": 8.424908424908426e-05,
|
204 |
+
"loss": 0.8698,
|
205 |
+
"step": 700
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.8745476477683957,
|
209 |
+
"grad_norm": 19.12152099609375,
|
210 |
+
"learning_rate": 8.363858363858364e-05,
|
211 |
+
"loss": 0.932,
|
212 |
+
"step": 725
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.9047044632086851,
|
216 |
+
"grad_norm": 13.084074974060059,
|
217 |
+
"learning_rate": 8.302808302808303e-05,
|
218 |
+
"loss": 0.8682,
|
219 |
+
"step": 750
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.9348612786489746,
|
223 |
+
"grad_norm": 17.12626838684082,
|
224 |
+
"learning_rate": 8.241758241758242e-05,
|
225 |
+
"loss": 0.879,
|
226 |
+
"step": 775
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.9650180940892642,
|
230 |
+
"grad_norm": 27.889331817626953,
|
231 |
+
"learning_rate": 8.18070818070818e-05,
|
232 |
+
"loss": 0.8815,
|
233 |
+
"step": 800
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.9951749095295537,
|
237 |
+
"grad_norm": 15.480960845947266,
|
238 |
+
"learning_rate": 8.11965811965812e-05,
|
239 |
+
"loss": 0.8855,
|
240 |
+
"step": 825
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 1.0253317249698433,
|
244 |
+
"grad_norm": 17.717817306518555,
|
245 |
+
"learning_rate": 8.058608058608059e-05,
|
246 |
+
"loss": 0.8537,
|
247 |
+
"step": 850
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 1.0554885404101326,
|
251 |
+
"grad_norm": 18.344432830810547,
|
252 |
+
"learning_rate": 7.997557997557998e-05,
|
253 |
+
"loss": 0.9154,
|
254 |
+
"step": 875
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.0856453558504222,
|
258 |
+
"grad_norm": 17.965234756469727,
|
259 |
+
"learning_rate": 7.936507936507937e-05,
|
260 |
+
"loss": 0.91,
|
261 |
+
"step": 900
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 1.1158021712907118,
|
265 |
+
"grad_norm": 22.685340881347656,
|
266 |
+
"learning_rate": 7.875457875457875e-05,
|
267 |
+
"loss": 0.8627,
|
268 |
+
"step": 925
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 1.1459589867310012,
|
272 |
+
"grad_norm": 36.94546127319336,
|
273 |
+
"learning_rate": 7.814407814407815e-05,
|
274 |
+
"loss": 0.84,
|
275 |
+
"step": 950
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.1761158021712907,
|
279 |
+
"grad_norm": 98.67118835449219,
|
280 |
+
"learning_rate": 7.753357753357754e-05,
|
281 |
+
"loss": 0.8758,
|
282 |
+
"step": 975
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 1.2062726176115803,
|
286 |
+
"grad_norm": 22.5080509185791,
|
287 |
+
"learning_rate": 7.694749694749695e-05,
|
288 |
+
"loss": 0.9677,
|
289 |
+
"step": 1000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 1.2364294330518697,
|
293 |
+
"grad_norm": 20.48828125,
|
294 |
+
"learning_rate": 7.633699633699634e-05,
|
295 |
+
"loss": 1.2519,
|
296 |
+
"step": 1025
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 1.2665862484921593,
|
300 |
+
"grad_norm": 16.624662399291992,
|
301 |
+
"learning_rate": 7.572649572649573e-05,
|
302 |
+
"loss": 0.8674,
|
303 |
+
"step": 1050
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 1.2967430639324489,
|
307 |
+
"grad_norm": 17.774490356445312,
|
308 |
+
"learning_rate": 7.511599511599511e-05,
|
309 |
+
"loss": 0.8505,
|
310 |
+
"step": 1075
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 1.3268998793727382,
|
314 |
+
"grad_norm": 12.95785903930664,
|
315 |
+
"learning_rate": 7.450549450549451e-05,
|
316 |
+
"loss": 0.8215,
|
317 |
+
"step": 1100
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 1.3570566948130278,
|
321 |
+
"grad_norm": 14.339399337768555,
|
322 |
+
"learning_rate": 7.38949938949939e-05,
|
323 |
+
"loss": 0.8527,
|
324 |
+
"step": 1125
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 1.3872135102533172,
|
328 |
+
"grad_norm": 13.43790340423584,
|
329 |
+
"learning_rate": 7.328449328449329e-05,
|
330 |
+
"loss": 0.7856,
|
331 |
+
"step": 1150
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 1.4173703256936068,
|
335 |
+
"grad_norm": 15.764432907104492,
|
336 |
+
"learning_rate": 7.267399267399268e-05,
|
337 |
+
"loss": 0.8953,
|
338 |
+
"step": 1175
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 1.4475271411338961,
|
342 |
+
"grad_norm": 17.939727783203125,
|
343 |
+
"learning_rate": 7.206349206349206e-05,
|
344 |
+
"loss": 0.7962,
|
345 |
+
"step": 1200
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 1.4776839565741857,
|
349 |
+
"grad_norm": 22.913164138793945,
|
350 |
+
"learning_rate": 7.145299145299146e-05,
|
351 |
+
"loss": 0.8549,
|
352 |
+
"step": 1225
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.5078407720144753,
|
356 |
+
"grad_norm": 36.68199157714844,
|
357 |
+
"learning_rate": 7.084249084249085e-05,
|
358 |
+
"loss": 0.7912,
|
359 |
+
"step": 1250
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.5379975874547647,
|
363 |
+
"grad_norm": 14.023738861083984,
|
364 |
+
"learning_rate": 7.025641025641025e-05,
|
365 |
+
"loss": 0.9224,
|
366 |
+
"step": 1275
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 1.5681544028950543,
|
370 |
+
"grad_norm": 14.844511985778809,
|
371 |
+
"learning_rate": 6.964590964590965e-05,
|
372 |
+
"loss": 0.8707,
|
373 |
+
"step": 1300
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 1.5983112183353438,
|
377 |
+
"grad_norm": 67.9472427368164,
|
378 |
+
"learning_rate": 6.903540903540904e-05,
|
379 |
+
"loss": 0.8692,
|
380 |
+
"step": 1325
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 1.6284680337756332,
|
384 |
+
"grad_norm": 13.173006057739258,
|
385 |
+
"learning_rate": 6.842490842490842e-05,
|
386 |
+
"loss": 0.8179,
|
387 |
+
"step": 1350
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 1.6586248492159228,
|
391 |
+
"grad_norm": 18.236101150512695,
|
392 |
+
"learning_rate": 6.781440781440782e-05,
|
393 |
+
"loss": 0.8281,
|
394 |
+
"step": 1375
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 1.6887816646562124,
|
398 |
+
"grad_norm": 20.294797897338867,
|
399 |
+
"learning_rate": 6.720390720390721e-05,
|
400 |
+
"loss": 0.8273,
|
401 |
+
"step": 1400
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.7189384800965017,
|
405 |
+
"grad_norm": 18.06429672241211,
|
406 |
+
"learning_rate": 6.65934065934066e-05,
|
407 |
+
"loss": 0.7984,
|
408 |
+
"step": 1425
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 1.7490952955367913,
|
412 |
+
"grad_norm": 159.88597106933594,
|
413 |
+
"learning_rate": 6.598290598290599e-05,
|
414 |
+
"loss": 0.8045,
|
415 |
+
"step": 1450
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 1.779252110977081,
|
419 |
+
"grad_norm": 32.71599197387695,
|
420 |
+
"learning_rate": 6.537240537240537e-05,
|
421 |
+
"loss": 0.8615,
|
422 |
+
"step": 1475
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.8094089264173703,
|
426 |
+
"grad_norm": 20.00482177734375,
|
427 |
+
"learning_rate": 6.476190476190477e-05,
|
428 |
+
"loss": 0.8346,
|
429 |
+
"step": 1500
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.8395657418576599,
|
433 |
+
"grad_norm": 29.308307647705078,
|
434 |
+
"learning_rate": 6.415140415140416e-05,
|
435 |
+
"loss": 0.7786,
|
436 |
+
"step": 1525
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.8697225572979495,
|
440 |
+
"grad_norm": 815.1858520507812,
|
441 |
+
"learning_rate": 6.354090354090355e-05,
|
442 |
+
"loss": 0.8377,
|
443 |
+
"step": 1550
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.8998793727382388,
|
447 |
+
"grad_norm": 17.91884994506836,
|
448 |
+
"learning_rate": 6.293040293040293e-05,
|
449 |
+
"loss": 0.7578,
|
450 |
+
"step": 1575
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.9300361881785284,
|
454 |
+
"grad_norm": 53.48311996459961,
|
455 |
+
"learning_rate": 6.231990231990232e-05,
|
456 |
+
"loss": 0.8059,
|
457 |
+
"step": 1600
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.960193003618818,
|
461 |
+
"grad_norm": 16.006927490234375,
|
462 |
+
"learning_rate": 6.170940170940172e-05,
|
463 |
+
"loss": 0.8219,
|
464 |
+
"step": 1625
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.9903498190591074,
|
468 |
+
"grad_norm": 26.18201446533203,
|
469 |
+
"learning_rate": 6.10989010989011e-05,
|
470 |
+
"loss": 0.8062,
|
471 |
+
"step": 1650
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 2.0205066344993967,
|
475 |
+
"grad_norm": 41.472023010253906,
|
476 |
+
"learning_rate": 6.048840048840049e-05,
|
477 |
+
"loss": 0.782,
|
478 |
+
"step": 1675
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 2.0506634499396865,
|
482 |
+
"grad_norm": 17.68017578125,
|
483 |
+
"learning_rate": 5.987789987789988e-05,
|
484 |
+
"loss": 0.787,
|
485 |
+
"step": 1700
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 2.080820265379976,
|
489 |
+
"grad_norm": 16.18324089050293,
|
490 |
+
"learning_rate": 5.9267399267399274e-05,
|
491 |
+
"loss": 0.7642,
|
492 |
+
"step": 1725
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 2.1109770808202653,
|
496 |
+
"grad_norm": 15.70964527130127,
|
497 |
+
"learning_rate": 5.865689865689866e-05,
|
498 |
+
"loss": 0.793,
|
499 |
+
"step": 1750
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 2.141133896260555,
|
503 |
+
"grad_norm": 49.760772705078125,
|
504 |
+
"learning_rate": 5.8046398046398054e-05,
|
505 |
+
"loss": 0.8482,
|
506 |
+
"step": 1775
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 2.1712907117008444,
|
510 |
+
"grad_norm": 15.465973854064941,
|
511 |
+
"learning_rate": 5.7435897435897434e-05,
|
512 |
+
"loss": 0.824,
|
513 |
+
"step": 1800
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 2.201447527141134,
|
517 |
+
"grad_norm": 27.056657791137695,
|
518 |
+
"learning_rate": 5.682539682539683e-05,
|
519 |
+
"loss": 0.7957,
|
520 |
+
"step": 1825
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 2.2316043425814236,
|
524 |
+
"grad_norm": 14.316446304321289,
|
525 |
+
"learning_rate": 5.6214896214896215e-05,
|
526 |
+
"loss": 0.807,
|
527 |
+
"step": 1850
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 2.261761158021713,
|
531 |
+
"grad_norm": 13.680840492248535,
|
532 |
+
"learning_rate": 5.560439560439561e-05,
|
533 |
+
"loss": 0.7543,
|
534 |
+
"step": 1875
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 2.2919179734620023,
|
538 |
+
"grad_norm": 16.61717987060547,
|
539 |
+
"learning_rate": 5.4993894993895e-05,
|
540 |
+
"loss": 0.7723,
|
541 |
+
"step": 1900
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 2.3220747889022917,
|
545 |
+
"grad_norm": 21.093223571777344,
|
546 |
+
"learning_rate": 5.438339438339438e-05,
|
547 |
+
"loss": 0.7988,
|
548 |
+
"step": 1925
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 2.3522316043425815,
|
552 |
+
"grad_norm": 17.148927688598633,
|
553 |
+
"learning_rate": 5.3772893772893775e-05,
|
554 |
+
"loss": 0.7661,
|
555 |
+
"step": 1950
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 2.382388419782871,
|
559 |
+
"grad_norm": 15.15334415435791,
|
560 |
+
"learning_rate": 5.316239316239316e-05,
|
561 |
+
"loss": 0.8032,
|
562 |
+
"step": 1975
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 2.4125452352231607,
|
566 |
+
"grad_norm": 15.025490760803223,
|
567 |
+
"learning_rate": 5.2551892551892556e-05,
|
568 |
+
"loss": 0.7666,
|
569 |
+
"step": 2000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 2.44270205066345,
|
573 |
+
"grad_norm": 39.71788787841797,
|
574 |
+
"learning_rate": 5.194139194139195e-05,
|
575 |
+
"loss": 0.7697,
|
576 |
+
"step": 2025
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 2.4728588661037394,
|
580 |
+
"grad_norm": 35.849727630615234,
|
581 |
+
"learning_rate": 5.133089133089133e-05,
|
582 |
+
"loss": 0.7531,
|
583 |
+
"step": 2050
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 2.5030156815440288,
|
587 |
+
"grad_norm": 34.135833740234375,
|
588 |
+
"learning_rate": 5.072039072039072e-05,
|
589 |
+
"loss": 0.7767,
|
590 |
+
"step": 2075
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 2.5331724969843186,
|
594 |
+
"grad_norm": 13.79836368560791,
|
595 |
+
"learning_rate": 5.010989010989011e-05,
|
596 |
+
"loss": 0.7961,
|
597 |
+
"step": 2100
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 2.563329312424608,
|
601 |
+
"grad_norm": 27.408437728881836,
|
602 |
+
"learning_rate": 4.94993894993895e-05,
|
603 |
+
"loss": 0.7926,
|
604 |
+
"step": 2125
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 2.5934861278648977,
|
608 |
+
"grad_norm": 11.799072265625,
|
609 |
+
"learning_rate": 4.888888888888889e-05,
|
610 |
+
"loss": 0.7315,
|
611 |
+
"step": 2150
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 2.623642943305187,
|
615 |
+
"grad_norm": 22.04068374633789,
|
616 |
+
"learning_rate": 4.8278388278388283e-05,
|
617 |
+
"loss": 0.749,
|
618 |
+
"step": 2175
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 2.6537997587454765,
|
622 |
+
"grad_norm": 18.57539939880371,
|
623 |
+
"learning_rate": 4.766788766788767e-05,
|
624 |
+
"loss": 0.7661,
|
625 |
+
"step": 2200
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 2.683956574185766,
|
629 |
+
"grad_norm": 14.180893898010254,
|
630 |
+
"learning_rate": 4.705738705738706e-05,
|
631 |
+
"loss": 0.7402,
|
632 |
+
"step": 2225
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 2.7141133896260556,
|
636 |
+
"grad_norm": 15.663522720336914,
|
637 |
+
"learning_rate": 4.644688644688645e-05,
|
638 |
+
"loss": 0.7778,
|
639 |
+
"step": 2250
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 2.744270205066345,
|
643 |
+
"grad_norm": 14.202746391296387,
|
644 |
+
"learning_rate": 4.583638583638584e-05,
|
645 |
+
"loss": 0.7922,
|
646 |
+
"step": 2275
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 2.7744270205066344,
|
650 |
+
"grad_norm": 19.26568031311035,
|
651 |
+
"learning_rate": 4.522588522588523e-05,
|
652 |
+
"loss": 0.7454,
|
653 |
+
"step": 2300
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 2.804583835946924,
|
657 |
+
"grad_norm": 30.88574981689453,
|
658 |
+
"learning_rate": 4.461538461538462e-05,
|
659 |
+
"loss": 0.7383,
|
660 |
+
"step": 2325
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 2.8347406513872135,
|
664 |
+
"grad_norm": 17.263395309448242,
|
665 |
+
"learning_rate": 4.4004884004884005e-05,
|
666 |
+
"loss": 0.7409,
|
667 |
+
"step": 2350
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 2.864897466827503,
|
671 |
+
"grad_norm": 15.320577621459961,
|
672 |
+
"learning_rate": 4.33943833943834e-05,
|
673 |
+
"loss": 0.7946,
|
674 |
+
"step": 2375
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 2.8950542822677923,
|
678 |
+
"grad_norm": 11.715496063232422,
|
679 |
+
"learning_rate": 4.2783882783882785e-05,
|
680 |
+
"loss": 0.7125,
|
681 |
+
"step": 2400
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 2.925211097708082,
|
685 |
+
"grad_norm": 14.207977294921875,
|
686 |
+
"learning_rate": 4.217338217338218e-05,
|
687 |
+
"loss": 0.7403,
|
688 |
+
"step": 2425
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 2.9553679131483714,
|
692 |
+
"grad_norm": 16.815935134887695,
|
693 |
+
"learning_rate": 4.1562881562881565e-05,
|
694 |
+
"loss": 0.754,
|
695 |
+
"step": 2450
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 2.9855247285886612,
|
699 |
+
"grad_norm": 21.52472496032715,
|
700 |
+
"learning_rate": 4.095238095238095e-05,
|
701 |
+
"loss": 0.7502,
|
702 |
+
"step": 2475
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 3.0156815440289506,
|
706 |
+
"grad_norm": 12.597681999206543,
|
707 |
+
"learning_rate": 4.0341880341880346e-05,
|
708 |
+
"loss": 0.7553,
|
709 |
+
"step": 2500
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 3.04583835946924,
|
713 |
+
"grad_norm": 15.156243324279785,
|
714 |
+
"learning_rate": 3.973137973137973e-05,
|
715 |
+
"loss": 0.6723,
|
716 |
+
"step": 2525
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 3.0759951749095293,
|
720 |
+
"grad_norm": 19.262258529663086,
|
721 |
+
"learning_rate": 3.912087912087912e-05,
|
722 |
+
"loss": 0.7203,
|
723 |
+
"step": 2550
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 3.106151990349819,
|
727 |
+
"grad_norm": 12.042356491088867,
|
728 |
+
"learning_rate": 3.851037851037851e-05,
|
729 |
+
"loss": 0.7715,
|
730 |
+
"step": 2575
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 3.1363088057901085,
|
734 |
+
"grad_norm": 15.979390144348145,
|
735 |
+
"learning_rate": 3.78998778998779e-05,
|
736 |
+
"loss": 0.7234,
|
737 |
+
"step": 2600
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 3.166465621230398,
|
741 |
+
"grad_norm": 27.65557861328125,
|
742 |
+
"learning_rate": 3.728937728937729e-05,
|
743 |
+
"loss": 0.6915,
|
744 |
+
"step": 2625
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 3.1966224366706877,
|
748 |
+
"grad_norm": 28.780155181884766,
|
749 |
+
"learning_rate": 3.667887667887668e-05,
|
750 |
+
"loss": 0.6991,
|
751 |
+
"step": 2650
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 3.226779252110977,
|
755 |
+
"grad_norm": 23.69841957092285,
|
756 |
+
"learning_rate": 3.606837606837607e-05,
|
757 |
+
"loss": 0.7365,
|
758 |
+
"step": 2675
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 3.2569360675512664,
|
762 |
+
"grad_norm": 26.912643432617188,
|
763 |
+
"learning_rate": 3.545787545787546e-05,
|
764 |
+
"loss": 0.7455,
|
765 |
+
"step": 2700
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 3.287092882991556,
|
769 |
+
"grad_norm": 25.788583755493164,
|
770 |
+
"learning_rate": 3.484737484737485e-05,
|
771 |
+
"loss": 0.7622,
|
772 |
+
"step": 2725
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 3.3172496984318456,
|
776 |
+
"grad_norm": 36.25239181518555,
|
777 |
+
"learning_rate": 3.423687423687424e-05,
|
778 |
+
"loss": 0.7134,
|
779 |
+
"step": 2750
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 3.347406513872135,
|
783 |
+
"grad_norm": 25.903047561645508,
|
784 |
+
"learning_rate": 3.362637362637363e-05,
|
785 |
+
"loss": 0.7219,
|
786 |
+
"step": 2775
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 3.3775633293124248,
|
790 |
+
"grad_norm": 53.384639739990234,
|
791 |
+
"learning_rate": 3.3015873015873014e-05,
|
792 |
+
"loss": 0.7554,
|
793 |
+
"step": 2800
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 3.407720144752714,
|
797 |
+
"grad_norm": 14.4858980178833,
|
798 |
+
"learning_rate": 3.240537240537241e-05,
|
799 |
+
"loss": 0.7368,
|
800 |
+
"step": 2825
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 3.4378769601930035,
|
804 |
+
"grad_norm": 16.597522735595703,
|
805 |
+
"learning_rate": 3.1794871794871795e-05,
|
806 |
+
"loss": 0.7357,
|
807 |
+
"step": 2850
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 3.4680337756332933,
|
811 |
+
"grad_norm": 12.060571670532227,
|
812 |
+
"learning_rate": 3.118437118437119e-05,
|
813 |
+
"loss": 0.6797,
|
814 |
+
"step": 2875
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 3.4981905910735827,
|
818 |
+
"grad_norm": 14.644749641418457,
|
819 |
+
"learning_rate": 3.0573870573870575e-05,
|
820 |
+
"loss": 0.7417,
|
821 |
+
"step": 2900
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 3.528347406513872,
|
825 |
+
"grad_norm": 12.184840202331543,
|
826 |
+
"learning_rate": 2.9963369963369965e-05,
|
827 |
+
"loss": 0.7043,
|
828 |
+
"step": 2925
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 3.558504221954162,
|
832 |
+
"grad_norm": 14.599753379821777,
|
833 |
+
"learning_rate": 2.9352869352869355e-05,
|
834 |
+
"loss": 0.7172,
|
835 |
+
"step": 2950
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 3.588661037394451,
|
839 |
+
"grad_norm": 29.58240509033203,
|
840 |
+
"learning_rate": 2.8742368742368742e-05,
|
841 |
+
"loss": 0.7016,
|
842 |
+
"step": 2975
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 3.6188178528347406,
|
846 |
+
"grad_norm": 12.626923561096191,
|
847 |
+
"learning_rate": 2.8131868131868132e-05,
|
848 |
+
"loss": 0.719,
|
849 |
+
"step": 3000
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 3.64897466827503,
|
853 |
+
"grad_norm": 17.7034969329834,
|
854 |
+
"learning_rate": 2.7521367521367526e-05,
|
855 |
+
"loss": 0.6679,
|
856 |
+
"step": 3025
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 3.6791314837153197,
|
860 |
+
"grad_norm": 16.806182861328125,
|
861 |
+
"learning_rate": 2.6910866910866913e-05,
|
862 |
+
"loss": 0.6795,
|
863 |
+
"step": 3050
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 3.709288299155609,
|
867 |
+
"grad_norm": 11.212449073791504,
|
868 |
+
"learning_rate": 2.6300366300366303e-05,
|
869 |
+
"loss": 0.6742,
|
870 |
+
"step": 3075
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 3.739445114595899,
|
874 |
+
"grad_norm": 16.0538272857666,
|
875 |
+
"learning_rate": 2.568986568986569e-05,
|
876 |
+
"loss": 0.6756,
|
877 |
+
"step": 3100
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 3.7696019300361883,
|
881 |
+
"grad_norm": 18.737091064453125,
|
882 |
+
"learning_rate": 2.507936507936508e-05,
|
883 |
+
"loss": 0.7179,
|
884 |
+
"step": 3125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 3.7997587454764776,
|
888 |
+
"grad_norm": 13.685617446899414,
|
889 |
+
"learning_rate": 2.446886446886447e-05,
|
890 |
+
"loss": 0.667,
|
891 |
+
"step": 3150
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 3.829915560916767,
|
895 |
+
"grad_norm": 16.607234954833984,
|
896 |
+
"learning_rate": 2.385836385836386e-05,
|
897 |
+
"loss": 0.6868,
|
898 |
+
"step": 3175
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 3.860072376357057,
|
902 |
+
"grad_norm": 16.519487380981445,
|
903 |
+
"learning_rate": 2.324786324786325e-05,
|
904 |
+
"loss": 0.6811,
|
905 |
+
"step": 3200
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 3.890229191797346,
|
909 |
+
"grad_norm": 20.921655654907227,
|
910 |
+
"learning_rate": 2.2637362637362637e-05,
|
911 |
+
"loss": 0.6893,
|
912 |
+
"step": 3225
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 3.920386007237636,
|
916 |
+
"grad_norm": 13.694364547729492,
|
917 |
+
"learning_rate": 2.2026862026862027e-05,
|
918 |
+
"loss": 0.6833,
|
919 |
+
"step": 3250
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 3.9505428226779253,
|
923 |
+
"grad_norm": 15.668880462646484,
|
924 |
+
"learning_rate": 2.1416361416361417e-05,
|
925 |
+
"loss": 0.6897,
|
926 |
+
"step": 3275
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 3.9806996381182147,
|
930 |
+
"grad_norm": 9.373758316040039,
|
931 |
+
"learning_rate": 2.0805860805860808e-05,
|
932 |
+
"loss": 0.6629,
|
933 |
+
"step": 3300
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 4.010856453558504,
|
937 |
+
"grad_norm": 17.02540397644043,
|
938 |
+
"learning_rate": 2.0195360195360198e-05,
|
939 |
+
"loss": 0.6492,
|
940 |
+
"step": 3325
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 4.041013268998793,
|
944 |
+
"grad_norm": 24.518537521362305,
|
945 |
+
"learning_rate": 1.9584859584859585e-05,
|
946 |
+
"loss": 0.6732,
|
947 |
+
"step": 3350
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 4.071170084439084,
|
951 |
+
"grad_norm": 15.94694995880127,
|
952 |
+
"learning_rate": 1.8974358974358975e-05,
|
953 |
+
"loss": 0.6687,
|
954 |
+
"step": 3375
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 4.101326899879373,
|
958 |
+
"grad_norm": 12.533055305480957,
|
959 |
+
"learning_rate": 1.8363858363858365e-05,
|
960 |
+
"loss": 0.6745,
|
961 |
+
"step": 3400
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 4.131483715319662,
|
965 |
+
"grad_norm": 17.95030403137207,
|
966 |
+
"learning_rate": 1.7753357753357755e-05,
|
967 |
+
"loss": 0.6614,
|
968 |
+
"step": 3425
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 4.161640530759952,
|
972 |
+
"grad_norm": 16.25010108947754,
|
973 |
+
"learning_rate": 1.7142857142857145e-05,
|
974 |
+
"loss": 0.6743,
|
975 |
+
"step": 3450
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 4.191797346200241,
|
979 |
+
"grad_norm": 16.024572372436523,
|
980 |
+
"learning_rate": 1.6532356532356532e-05,
|
981 |
+
"loss": 0.6436,
|
982 |
+
"step": 3475
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 4.2219541616405305,
|
986 |
+
"grad_norm": 22.803369522094727,
|
987 |
+
"learning_rate": 1.5921855921855922e-05,
|
988 |
+
"loss": 0.6421,
|
989 |
+
"step": 3500
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 4.25211097708082,
|
993 |
+
"grad_norm": 14.937376022338867,
|
994 |
+
"learning_rate": 1.5311355311355312e-05,
|
995 |
+
"loss": 0.6565,
|
996 |
+
"step": 3525
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 4.28226779252111,
|
1000 |
+
"grad_norm": 14.354950904846191,
|
1001 |
+
"learning_rate": 1.4700854700854703e-05,
|
1002 |
+
"loss": 0.6647,
|
1003 |
+
"step": 3550
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 4.3124246079613995,
|
1007 |
+
"grad_norm": 17.91471290588379,
|
1008 |
+
"learning_rate": 1.4090354090354091e-05,
|
1009 |
+
"loss": 0.6313,
|
1010 |
+
"step": 3575
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 4.342581423401689,
|
1014 |
+
"grad_norm": 33.2518424987793,
|
1015 |
+
"learning_rate": 1.347985347985348e-05,
|
1016 |
+
"loss": 0.6264,
|
1017 |
+
"step": 3600
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 4.372738238841978,
|
1021 |
+
"grad_norm": 13.307084083557129,
|
1022 |
+
"learning_rate": 1.2869352869352868e-05,
|
1023 |
+
"loss": 0.6563,
|
1024 |
+
"step": 3625
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 4.402895054282268,
|
1028 |
+
"grad_norm": 15.540495872497559,
|
1029 |
+
"learning_rate": 1.2258852258852258e-05,
|
1030 |
+
"loss": 0.6654,
|
1031 |
+
"step": 3650
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 4.433051869722557,
|
1035 |
+
"grad_norm": 14.595681190490723,
|
1036 |
+
"learning_rate": 1.1648351648351648e-05,
|
1037 |
+
"loss": 0.6633,
|
1038 |
+
"step": 3675
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 4.463208685162847,
|
1042 |
+
"grad_norm": 19.460350036621094,
|
1043 |
+
"learning_rate": 1.1037851037851039e-05,
|
1044 |
+
"loss": 0.6612,
|
1045 |
+
"step": 3700
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 4.4933655006031366,
|
1049 |
+
"grad_norm": 13.955097198486328,
|
1050 |
+
"learning_rate": 1.0427350427350429e-05,
|
1051 |
+
"loss": 0.6768,
|
1052 |
+
"step": 3725
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 4.523522316043426,
|
1056 |
+
"grad_norm": 13.924335479736328,
|
1057 |
+
"learning_rate": 9.816849816849817e-06,
|
1058 |
+
"loss": 0.6451,
|
1059 |
+
"step": 3750
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 4.553679131483715,
|
1063 |
+
"grad_norm": 12.562804222106934,
|
1064 |
+
"learning_rate": 9.206349206349207e-06,
|
1065 |
+
"loss": 0.6408,
|
1066 |
+
"step": 3775
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 4.583835946924005,
|
1070 |
+
"grad_norm": 11.879654884338379,
|
1071 |
+
"learning_rate": 8.595848595848596e-06,
|
1072 |
+
"loss": 0.6746,
|
1073 |
+
"step": 3800
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 4.613992762364294,
|
1077 |
+
"grad_norm": 12.780753135681152,
|
1078 |
+
"learning_rate": 7.985347985347984e-06,
|
1079 |
+
"loss": 0.6322,
|
1080 |
+
"step": 3825
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 4.644149577804583,
|
1084 |
+
"grad_norm": 13.602087020874023,
|
1085 |
+
"learning_rate": 7.374847374847375e-06,
|
1086 |
+
"loss": 0.6343,
|
1087 |
+
"step": 3850
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 4.674306393244874,
|
1091 |
+
"grad_norm": 16.94817352294922,
|
1092 |
+
"learning_rate": 6.764346764346764e-06,
|
1093 |
+
"loss": 0.6351,
|
1094 |
+
"step": 3875
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 4.704463208685163,
|
1098 |
+
"grad_norm": 10.593673706054688,
|
1099 |
+
"learning_rate": 6.153846153846155e-06,
|
1100 |
+
"loss": 0.5892,
|
1101 |
+
"step": 3900
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 4.734620024125452,
|
1105 |
+
"grad_norm": 21.8657283782959,
|
1106 |
+
"learning_rate": 5.543345543345543e-06,
|
1107 |
+
"loss": 0.661,
|
1108 |
+
"step": 3925
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 4.764776839565742,
|
1112 |
+
"grad_norm": 14.38430404663086,
|
1113 |
+
"learning_rate": 4.932844932844933e-06,
|
1114 |
+
"loss": 0.6261,
|
1115 |
+
"step": 3950
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 4.794933655006031,
|
1119 |
+
"grad_norm": 9.656220436096191,
|
1120 |
+
"learning_rate": 4.322344322344323e-06,
|
1121 |
+
"loss": 0.6405,
|
1122 |
+
"step": 3975
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 4.825090470446321,
|
1126 |
+
"grad_norm": 13.676799774169922,
|
1127 |
+
"learning_rate": 3.711843711843712e-06,
|
1128 |
+
"loss": 0.6169,
|
1129 |
+
"step": 4000
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 4.855247285886611,
|
1133 |
+
"grad_norm": 11.05395221710205,
|
1134 |
+
"learning_rate": 3.1013431013431015e-06,
|
1135 |
+
"loss": 0.6447,
|
1136 |
+
"step": 4025
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 4.8854041013269,
|
1140 |
+
"grad_norm": 13.141251564025879,
|
1141 |
+
"learning_rate": 2.4908424908424913e-06,
|
1142 |
+
"loss": 0.6244,
|
1143 |
+
"step": 4050
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 4.915560916767189,
|
1147 |
+
"grad_norm": 13.8480863571167,
|
1148 |
+
"learning_rate": 1.8803418803418804e-06,
|
1149 |
+
"loss": 0.638,
|
1150 |
+
"step": 4075
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 4.945717732207479,
|
1154 |
+
"grad_norm": 12.424724578857422,
|
1155 |
+
"learning_rate": 1.26984126984127e-06,
|
1156 |
+
"loss": 0.6151,
|
1157 |
+
"step": 4100
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 4.975874547647768,
|
1161 |
+
"grad_norm": 14.598273277282715,
|
1162 |
+
"learning_rate": 6.593406593406594e-07,
|
1163 |
+
"loss": 0.6537,
|
1164 |
+
"step": 4125
|
1165 |
+
}
|
1166 |
+
],
|
1167 |
+
"logging_steps": 25,
|
1168 |
+
"max_steps": 4145,
|
1169 |
+
"num_input_tokens_seen": 0,
|
1170 |
+
"num_train_epochs": 5,
|
1171 |
+
"save_steps": 25,
|
1172 |
+
"stateful_callbacks": {
|
1173 |
+
"TrainerControl": {
|
1174 |
+
"args": {
|
1175 |
+
"should_epoch_stop": false,
|
1176 |
+
"should_evaluate": false,
|
1177 |
+
"should_log": false,
|
1178 |
+
"should_save": true,
|
1179 |
+
"should_training_stop": true
|
1180 |
+
},
|
1181 |
+
"attributes": {}
|
1182 |
+
}
|
1183 |
+
},
|
1184 |
+
"total_flos": 1.058118140105759e+17,
|
1185 |
+
"train_batch_size": 1,
|
1186 |
+
"trial_name": null,
|
1187 |
+
"trial_params": null
|
1188 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e91319161646420cd1e59f4e31d04066bacb0c69966b67bea30fe42c0d54a667
|
3 |
+
size 5176
|