Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +33 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1133 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: HuggingFaceM4/idefics-9b
|
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 0.10.1.dev0
|
adapter_config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "PeftModel",
|
5 |
+
"parent_library": "peft.peft_model"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": null,
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 32,
|
17 |
+
"lora_dropout": 0.05,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": null,
|
21 |
+
"peft_type": "LORA",
|
22 |
+
"r": 16,
|
23 |
+
"rank_pattern": {},
|
24 |
+
"revision": null,
|
25 |
+
"target_modules": [
|
26 |
+
"v_proj",
|
27 |
+
"q_proj",
|
28 |
+
"k_proj"
|
29 |
+
],
|
30 |
+
"task_type": null,
|
31 |
+
"use_dora": false,
|
32 |
+
"use_rslora": false
|
33 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0dcdff3b1cd5502f37fbc49bd5b56164a756b0b21281ba40b23f36847ee050d4
|
3 |
+
size 79111656
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:004e4492dd5e5219c50b76a69f86589a588bca017a740d3dcc174147e719869c
|
3 |
+
size 40107172
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8972cc07f8b502c4f3c2a744b9c92b835c2deeea6669dc944b2584b396010860
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5f4fe8e328be6e10e053e14666b2e571c45c73d9a8291556b08910e3da67b3e6
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,1133 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9092975676290066,
|
5 |
+
"eval_steps": 10,
|
6 |
+
"global_step": 500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.009092975676290065,
|
13 |
+
"grad_norm": 1.0088555812835693,
|
14 |
+
"learning_rate": 0.00019800000000000002,
|
15 |
+
"loss": 2.2722,
|
16 |
+
"step": 5
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.01818595135258013,
|
20 |
+
"grad_norm": 0.9372844099998474,
|
21 |
+
"learning_rate": 0.000196,
|
22 |
+
"loss": 1.6351,
|
23 |
+
"step": 10
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.01818595135258013,
|
27 |
+
"eval_loss": 1.5618833303451538,
|
28 |
+
"eval_runtime": 7.6668,
|
29 |
+
"eval_samples_per_second": 3.913,
|
30 |
+
"eval_steps_per_second": 1.956,
|
31 |
+
"step": 10
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.0272789270288702,
|
35 |
+
"grad_norm": 1.3525443077087402,
|
36 |
+
"learning_rate": 0.000194,
|
37 |
+
"loss": 1.5293,
|
38 |
+
"step": 15
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.03637190270516026,
|
42 |
+
"grad_norm": 0.8991140723228455,
|
43 |
+
"learning_rate": 0.000192,
|
44 |
+
"loss": 1.4111,
|
45 |
+
"step": 20
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.03637190270516026,
|
49 |
+
"eval_loss": 1.3718944787979126,
|
50 |
+
"eval_runtime": 7.8196,
|
51 |
+
"eval_samples_per_second": 3.837,
|
52 |
+
"eval_steps_per_second": 1.918,
|
53 |
+
"step": 20
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 0.04546487838145033,
|
57 |
+
"grad_norm": 1.98069429397583,
|
58 |
+
"learning_rate": 0.00019,
|
59 |
+
"loss": 1.3139,
|
60 |
+
"step": 25
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.0545578540577404,
|
64 |
+
"grad_norm": 0.6621396541595459,
|
65 |
+
"learning_rate": 0.000188,
|
66 |
+
"loss": 1.4428,
|
67 |
+
"step": 30
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 0.0545578540577404,
|
71 |
+
"eval_loss": 1.2937129735946655,
|
72 |
+
"eval_runtime": 7.4563,
|
73 |
+
"eval_samples_per_second": 4.023,
|
74 |
+
"eval_steps_per_second": 2.012,
|
75 |
+
"step": 30
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.06365082973403047,
|
79 |
+
"grad_norm": 0.896124005317688,
|
80 |
+
"learning_rate": 0.00018600000000000002,
|
81 |
+
"loss": 1.3239,
|
82 |
+
"step": 35
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 0.07274380541032052,
|
86 |
+
"grad_norm": 1.9882720708847046,
|
87 |
+
"learning_rate": 0.00018400000000000003,
|
88 |
+
"loss": 1.279,
|
89 |
+
"step": 40
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.07274380541032052,
|
93 |
+
"eval_loss": 1.2551789283752441,
|
94 |
+
"eval_runtime": 7.9884,
|
95 |
+
"eval_samples_per_second": 3.755,
|
96 |
+
"eval_steps_per_second": 1.878,
|
97 |
+
"step": 40
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 0.08183678108661059,
|
101 |
+
"grad_norm": 0.7292985320091248,
|
102 |
+
"learning_rate": 0.000182,
|
103 |
+
"loss": 1.2615,
|
104 |
+
"step": 45
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.09092975676290066,
|
108 |
+
"grad_norm": 0.7677621245384216,
|
109 |
+
"learning_rate": 0.00018,
|
110 |
+
"loss": 1.2903,
|
111 |
+
"step": 50
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.09092975676290066,
|
115 |
+
"eval_loss": 1.2139209508895874,
|
116 |
+
"eval_runtime": 7.6731,
|
117 |
+
"eval_samples_per_second": 3.91,
|
118 |
+
"eval_steps_per_second": 1.955,
|
119 |
+
"step": 50
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.10002273243919073,
|
123 |
+
"grad_norm": 0.781851589679718,
|
124 |
+
"learning_rate": 0.00017800000000000002,
|
125 |
+
"loss": 1.1273,
|
126 |
+
"step": 55
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.1091157081154808,
|
130 |
+
"grad_norm": 0.7166887521743774,
|
131 |
+
"learning_rate": 0.00017600000000000002,
|
132 |
+
"loss": 1.3067,
|
133 |
+
"step": 60
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 0.1091157081154808,
|
137 |
+
"eval_loss": 1.2027504444122314,
|
138 |
+
"eval_runtime": 7.6999,
|
139 |
+
"eval_samples_per_second": 3.896,
|
140 |
+
"eval_steps_per_second": 1.948,
|
141 |
+
"step": 60
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.11820868379177085,
|
145 |
+
"grad_norm": 0.7799960970878601,
|
146 |
+
"learning_rate": 0.000174,
|
147 |
+
"loss": 1.1987,
|
148 |
+
"step": 65
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 0.12730165946806093,
|
152 |
+
"grad_norm": 0.6864632964134216,
|
153 |
+
"learning_rate": 0.000172,
|
154 |
+
"loss": 1.2013,
|
155 |
+
"step": 70
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 0.12730165946806093,
|
159 |
+
"eval_loss": 1.1920855045318604,
|
160 |
+
"eval_runtime": 7.8738,
|
161 |
+
"eval_samples_per_second": 3.81,
|
162 |
+
"eval_steps_per_second": 1.905,
|
163 |
+
"step": 70
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.136394635144351,
|
167 |
+
"grad_norm": 0.774085283279419,
|
168 |
+
"learning_rate": 0.00017,
|
169 |
+
"loss": 1.1184,
|
170 |
+
"step": 75
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.14548761082064104,
|
174 |
+
"grad_norm": 0.6681156158447266,
|
175 |
+
"learning_rate": 0.000168,
|
176 |
+
"loss": 1.2931,
|
177 |
+
"step": 80
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.14548761082064104,
|
181 |
+
"eval_loss": 1.1745468378067017,
|
182 |
+
"eval_runtime": 7.4956,
|
183 |
+
"eval_samples_per_second": 4.002,
|
184 |
+
"eval_steps_per_second": 2.001,
|
185 |
+
"step": 80
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.15458058649693113,
|
189 |
+
"grad_norm": 0.7310240864753723,
|
190 |
+
"learning_rate": 0.000166,
|
191 |
+
"loss": 1.1426,
|
192 |
+
"step": 85
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.16367356217322118,
|
196 |
+
"grad_norm": 0.8338828682899475,
|
197 |
+
"learning_rate": 0.000164,
|
198 |
+
"loss": 1.1719,
|
199 |
+
"step": 90
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.16367356217322118,
|
203 |
+
"eval_loss": 1.1653213500976562,
|
204 |
+
"eval_runtime": 7.8929,
|
205 |
+
"eval_samples_per_second": 3.801,
|
206 |
+
"eval_steps_per_second": 1.9,
|
207 |
+
"step": 90
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.17276653784951126,
|
211 |
+
"grad_norm": 0.732770562171936,
|
212 |
+
"learning_rate": 0.000162,
|
213 |
+
"loss": 1.2321,
|
214 |
+
"step": 95
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 0.18185951352580132,
|
218 |
+
"grad_norm": 0.7523607611656189,
|
219 |
+
"learning_rate": 0.00016,
|
220 |
+
"loss": 1.2331,
|
221 |
+
"step": 100
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.18185951352580132,
|
225 |
+
"eval_loss": 1.1490192413330078,
|
226 |
+
"eval_runtime": 7.6199,
|
227 |
+
"eval_samples_per_second": 3.937,
|
228 |
+
"eval_steps_per_second": 1.969,
|
229 |
+
"step": 100
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 0.19095248920209137,
|
233 |
+
"grad_norm": 0.7681267261505127,
|
234 |
+
"learning_rate": 0.00015800000000000002,
|
235 |
+
"loss": 1.1277,
|
236 |
+
"step": 105
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.20004546487838146,
|
240 |
+
"grad_norm": 0.7249591946601868,
|
241 |
+
"learning_rate": 0.00015600000000000002,
|
242 |
+
"loss": 1.142,
|
243 |
+
"step": 110
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.20004546487838146,
|
247 |
+
"eval_loss": 1.137698769569397,
|
248 |
+
"eval_runtime": 7.8436,
|
249 |
+
"eval_samples_per_second": 3.825,
|
250 |
+
"eval_steps_per_second": 1.912,
|
251 |
+
"step": 110
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 0.2091384405546715,
|
255 |
+
"grad_norm": 0.6904309391975403,
|
256 |
+
"learning_rate": 0.000154,
|
257 |
+
"loss": 1.2033,
|
258 |
+
"step": 115
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 0.2182314162309616,
|
262 |
+
"grad_norm": 0.7456697821617126,
|
263 |
+
"learning_rate": 0.000152,
|
264 |
+
"loss": 1.1777,
|
265 |
+
"step": 120
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.2182314162309616,
|
269 |
+
"eval_loss": 1.1293922662734985,
|
270 |
+
"eval_runtime": 7.2963,
|
271 |
+
"eval_samples_per_second": 4.112,
|
272 |
+
"eval_steps_per_second": 2.056,
|
273 |
+
"step": 120
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.22732439190725165,
|
277 |
+
"grad_norm": 0.6743273735046387,
|
278 |
+
"learning_rate": 0.00015000000000000001,
|
279 |
+
"loss": 1.1582,
|
280 |
+
"step": 125
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 0.2364173675835417,
|
284 |
+
"grad_norm": 0.6429440379142761,
|
285 |
+
"learning_rate": 0.000148,
|
286 |
+
"loss": 1.1064,
|
287 |
+
"step": 130
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 0.2364173675835417,
|
291 |
+
"eval_loss": 1.119972825050354,
|
292 |
+
"eval_runtime": 7.7787,
|
293 |
+
"eval_samples_per_second": 3.857,
|
294 |
+
"eval_steps_per_second": 1.928,
|
295 |
+
"step": 130
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.2455103432598318,
|
299 |
+
"grad_norm": 0.6626828908920288,
|
300 |
+
"learning_rate": 0.000146,
|
301 |
+
"loss": 1.1741,
|
302 |
+
"step": 135
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.25460331893612187,
|
306 |
+
"grad_norm": 0.8786306381225586,
|
307 |
+
"learning_rate": 0.000144,
|
308 |
+
"loss": 0.9836,
|
309 |
+
"step": 140
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.25460331893612187,
|
313 |
+
"eval_loss": 1.1226236820220947,
|
314 |
+
"eval_runtime": 7.3222,
|
315 |
+
"eval_samples_per_second": 4.097,
|
316 |
+
"eval_steps_per_second": 2.049,
|
317 |
+
"step": 140
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.2636962946124119,
|
321 |
+
"grad_norm": 0.7686639428138733,
|
322 |
+
"learning_rate": 0.000142,
|
323 |
+
"loss": 1.0945,
|
324 |
+
"step": 145
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.272789270288702,
|
328 |
+
"grad_norm": 0.795609712600708,
|
329 |
+
"learning_rate": 0.00014,
|
330 |
+
"loss": 0.9761,
|
331 |
+
"step": 150
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.272789270288702,
|
335 |
+
"eval_loss": 1.0910608768463135,
|
336 |
+
"eval_runtime": 7.8761,
|
337 |
+
"eval_samples_per_second": 3.809,
|
338 |
+
"eval_steps_per_second": 1.905,
|
339 |
+
"step": 150
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.28188224596499206,
|
343 |
+
"grad_norm": 0.8161769509315491,
|
344 |
+
"learning_rate": 0.000138,
|
345 |
+
"loss": 1.0516,
|
346 |
+
"step": 155
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.2909752216412821,
|
350 |
+
"grad_norm": 0.7441025972366333,
|
351 |
+
"learning_rate": 0.00013600000000000003,
|
352 |
+
"loss": 1.0843,
|
353 |
+
"step": 160
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.2909752216412821,
|
357 |
+
"eval_loss": 1.0994905233383179,
|
358 |
+
"eval_runtime": 7.3248,
|
359 |
+
"eval_samples_per_second": 4.096,
|
360 |
+
"eval_steps_per_second": 2.048,
|
361 |
+
"step": 160
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.30006819731757217,
|
365 |
+
"grad_norm": 0.8015936613082886,
|
366 |
+
"learning_rate": 0.000134,
|
367 |
+
"loss": 1.2283,
|
368 |
+
"step": 165
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.30916117299386225,
|
372 |
+
"grad_norm": 0.7653372287750244,
|
373 |
+
"learning_rate": 0.000132,
|
374 |
+
"loss": 1.0927,
|
375 |
+
"step": 170
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.30916117299386225,
|
379 |
+
"eval_loss": 1.0781885385513306,
|
380 |
+
"eval_runtime": 7.7433,
|
381 |
+
"eval_samples_per_second": 3.874,
|
382 |
+
"eval_steps_per_second": 1.937,
|
383 |
+
"step": 170
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.3182541486701523,
|
387 |
+
"grad_norm": 0.7825664281845093,
|
388 |
+
"learning_rate": 0.00013000000000000002,
|
389 |
+
"loss": 1.106,
|
390 |
+
"step": 175
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.32734712434644236,
|
394 |
+
"grad_norm": 0.7554489970207214,
|
395 |
+
"learning_rate": 0.00012800000000000002,
|
396 |
+
"loss": 1.0999,
|
397 |
+
"step": 180
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 0.32734712434644236,
|
401 |
+
"eval_loss": 1.0733944177627563,
|
402 |
+
"eval_runtime": 7.5964,
|
403 |
+
"eval_samples_per_second": 3.949,
|
404 |
+
"eval_steps_per_second": 1.975,
|
405 |
+
"step": 180
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.33644010002273245,
|
409 |
+
"grad_norm": 0.8089460730552673,
|
410 |
+
"learning_rate": 0.000126,
|
411 |
+
"loss": 1.2226,
|
412 |
+
"step": 185
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"epoch": 0.34553307569902253,
|
416 |
+
"grad_norm": 0.7402002215385437,
|
417 |
+
"learning_rate": 0.000124,
|
418 |
+
"loss": 1.1182,
|
419 |
+
"step": 190
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 0.34553307569902253,
|
423 |
+
"eval_loss": 1.0658830404281616,
|
424 |
+
"eval_runtime": 7.8865,
|
425 |
+
"eval_samples_per_second": 3.804,
|
426 |
+
"eval_steps_per_second": 1.902,
|
427 |
+
"step": 190
|
428 |
+
},
|
429 |
+
{
|
430 |
+
"epoch": 0.35462605137531256,
|
431 |
+
"grad_norm": 0.6649179458618164,
|
432 |
+
"learning_rate": 0.000122,
|
433 |
+
"loss": 1.0671,
|
434 |
+
"step": 195
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.36371902705160264,
|
438 |
+
"grad_norm": 0.7573872804641724,
|
439 |
+
"learning_rate": 0.00012,
|
440 |
+
"loss": 1.0291,
|
441 |
+
"step": 200
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.36371902705160264,
|
445 |
+
"eval_loss": 1.0471783876419067,
|
446 |
+
"eval_runtime": 7.9526,
|
447 |
+
"eval_samples_per_second": 3.772,
|
448 |
+
"eval_steps_per_second": 1.886,
|
449 |
+
"step": 200
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.3728120027278927,
|
453 |
+
"grad_norm": 0.8243398666381836,
|
454 |
+
"learning_rate": 0.000118,
|
455 |
+
"loss": 1.1096,
|
456 |
+
"step": 205
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 0.38190497840418275,
|
460 |
+
"grad_norm": 0.721502423286438,
|
461 |
+
"learning_rate": 0.000116,
|
462 |
+
"loss": 1.2158,
|
463 |
+
"step": 210
|
464 |
+
},
|
465 |
+
{
|
466 |
+
"epoch": 0.38190497840418275,
|
467 |
+
"eval_loss": 1.0554709434509277,
|
468 |
+
"eval_runtime": 7.3409,
|
469 |
+
"eval_samples_per_second": 4.087,
|
470 |
+
"eval_steps_per_second": 2.043,
|
471 |
+
"step": 210
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.39099795408047283,
|
475 |
+
"grad_norm": 0.7591432332992554,
|
476 |
+
"learning_rate": 0.00011399999999999999,
|
477 |
+
"loss": 1.0817,
|
478 |
+
"step": 215
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.4000909297567629,
|
482 |
+
"grad_norm": 0.7596343755722046,
|
483 |
+
"learning_rate": 0.00011200000000000001,
|
484 |
+
"loss": 1.0873,
|
485 |
+
"step": 220
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.4000909297567629,
|
489 |
+
"eval_loss": 1.0482908487319946,
|
490 |
+
"eval_runtime": 7.8536,
|
491 |
+
"eval_samples_per_second": 3.82,
|
492 |
+
"eval_steps_per_second": 1.91,
|
493 |
+
"step": 220
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.40918390543305294,
|
497 |
+
"grad_norm": 0.8296840190887451,
|
498 |
+
"learning_rate": 0.00011000000000000002,
|
499 |
+
"loss": 1.0252,
|
500 |
+
"step": 225
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.418276881109343,
|
504 |
+
"grad_norm": 0.9094285368919373,
|
505 |
+
"learning_rate": 0.00010800000000000001,
|
506 |
+
"loss": 1.0978,
|
507 |
+
"step": 230
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.418276881109343,
|
511 |
+
"eval_loss": 1.046170711517334,
|
512 |
+
"eval_runtime": 7.4472,
|
513 |
+
"eval_samples_per_second": 4.028,
|
514 |
+
"eval_steps_per_second": 2.014,
|
515 |
+
"step": 230
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.4273698567856331,
|
519 |
+
"grad_norm": 0.8471206426620483,
|
520 |
+
"learning_rate": 0.00010600000000000002,
|
521 |
+
"loss": 1.0371,
|
522 |
+
"step": 235
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.4364628324619232,
|
526 |
+
"grad_norm": 0.8168342113494873,
|
527 |
+
"learning_rate": 0.00010400000000000001,
|
528 |
+
"loss": 1.0352,
|
529 |
+
"step": 240
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.4364628324619232,
|
533 |
+
"eval_loss": 1.0409115552902222,
|
534 |
+
"eval_runtime": 7.8502,
|
535 |
+
"eval_samples_per_second": 3.822,
|
536 |
+
"eval_steps_per_second": 1.911,
|
537 |
+
"step": 240
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.4455558081382132,
|
541 |
+
"grad_norm": 0.7482770681381226,
|
542 |
+
"learning_rate": 0.00010200000000000001,
|
543 |
+
"loss": 1.0812,
|
544 |
+
"step": 245
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 0.4546487838145033,
|
548 |
+
"grad_norm": 0.7300863862037659,
|
549 |
+
"learning_rate": 0.0001,
|
550 |
+
"loss": 1.1762,
|
551 |
+
"step": 250
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.4546487838145033,
|
555 |
+
"eval_loss": 1.0410172939300537,
|
556 |
+
"eval_runtime": 7.4872,
|
557 |
+
"eval_samples_per_second": 4.007,
|
558 |
+
"eval_steps_per_second": 2.003,
|
559 |
+
"step": 250
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 0.4637417594907934,
|
563 |
+
"grad_norm": 0.7066290378570557,
|
564 |
+
"learning_rate": 9.8e-05,
|
565 |
+
"loss": 1.1054,
|
566 |
+
"step": 255
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.4728347351670834,
|
570 |
+
"grad_norm": 0.8214625716209412,
|
571 |
+
"learning_rate": 9.6e-05,
|
572 |
+
"loss": 1.0563,
|
573 |
+
"step": 260
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.4728347351670834,
|
577 |
+
"eval_loss": 1.03702974319458,
|
578 |
+
"eval_runtime": 7.8723,
|
579 |
+
"eval_samples_per_second": 3.811,
|
580 |
+
"eval_steps_per_second": 1.905,
|
581 |
+
"step": 260
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 0.4819277108433735,
|
585 |
+
"grad_norm": 0.8834312558174133,
|
586 |
+
"learning_rate": 9.4e-05,
|
587 |
+
"loss": 1.1071,
|
588 |
+
"step": 265
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 0.4910206865196636,
|
592 |
+
"grad_norm": 0.768332302570343,
|
593 |
+
"learning_rate": 9.200000000000001e-05,
|
594 |
+
"loss": 1.0537,
|
595 |
+
"step": 270
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"epoch": 0.4910206865196636,
|
599 |
+
"eval_loss": 1.033887267112732,
|
600 |
+
"eval_runtime": 7.7503,
|
601 |
+
"eval_samples_per_second": 3.871,
|
602 |
+
"eval_steps_per_second": 1.935,
|
603 |
+
"step": 270
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.5001136621959537,
|
607 |
+
"grad_norm": 0.805924654006958,
|
608 |
+
"learning_rate": 9e-05,
|
609 |
+
"loss": 1.1193,
|
610 |
+
"step": 275
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 0.5092066378722437,
|
614 |
+
"grad_norm": 0.8571528792381287,
|
615 |
+
"learning_rate": 8.800000000000001e-05,
|
616 |
+
"loss": 1.0951,
|
617 |
+
"step": 280
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.5092066378722437,
|
621 |
+
"eval_loss": 1.0283806324005127,
|
622 |
+
"eval_runtime": 7.6361,
|
623 |
+
"eval_samples_per_second": 3.929,
|
624 |
+
"eval_steps_per_second": 1.964,
|
625 |
+
"step": 280
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.5182996135485337,
|
629 |
+
"grad_norm": 0.8743025064468384,
|
630 |
+
"learning_rate": 8.6e-05,
|
631 |
+
"loss": 0.9861,
|
632 |
+
"step": 285
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.5273925892248238,
|
636 |
+
"grad_norm": 0.8119250535964966,
|
637 |
+
"learning_rate": 8.4e-05,
|
638 |
+
"loss": 1.0458,
|
639 |
+
"step": 290
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.5273925892248238,
|
643 |
+
"eval_loss": 1.0257965326309204,
|
644 |
+
"eval_runtime": 7.8945,
|
645 |
+
"eval_samples_per_second": 3.8,
|
646 |
+
"eval_steps_per_second": 1.9,
|
647 |
+
"step": 290
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.5364855649011139,
|
651 |
+
"grad_norm": 0.9032679796218872,
|
652 |
+
"learning_rate": 8.2e-05,
|
653 |
+
"loss": 1.0145,
|
654 |
+
"step": 295
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.545578540577404,
|
658 |
+
"grad_norm": 0.8125148415565491,
|
659 |
+
"learning_rate": 8e-05,
|
660 |
+
"loss": 1.0212,
|
661 |
+
"step": 300
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.545578540577404,
|
665 |
+
"eval_loss": 1.018557071685791,
|
666 |
+
"eval_runtime": 7.5438,
|
667 |
+
"eval_samples_per_second": 3.977,
|
668 |
+
"eval_steps_per_second": 1.988,
|
669 |
+
"step": 300
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.554671516253694,
|
673 |
+
"grad_norm": 0.77150958776474,
|
674 |
+
"learning_rate": 7.800000000000001e-05,
|
675 |
+
"loss": 1.0901,
|
676 |
+
"step": 305
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 0.5637644919299841,
|
680 |
+
"grad_norm": 0.8303976058959961,
|
681 |
+
"learning_rate": 7.6e-05,
|
682 |
+
"loss": 1.0535,
|
683 |
+
"step": 310
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 0.5637644919299841,
|
687 |
+
"eval_loss": 1.019250750541687,
|
688 |
+
"eval_runtime": 7.9264,
|
689 |
+
"eval_samples_per_second": 3.785,
|
690 |
+
"eval_steps_per_second": 1.892,
|
691 |
+
"step": 310
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 0.5728574676062742,
|
695 |
+
"grad_norm": 0.8433631658554077,
|
696 |
+
"learning_rate": 7.4e-05,
|
697 |
+
"loss": 1.1187,
|
698 |
+
"step": 315
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.5819504432825642,
|
702 |
+
"grad_norm": 0.8279653787612915,
|
703 |
+
"learning_rate": 7.2e-05,
|
704 |
+
"loss": 1.1483,
|
705 |
+
"step": 320
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 0.5819504432825642,
|
709 |
+
"eval_loss": 1.0166659355163574,
|
710 |
+
"eval_runtime": 7.3093,
|
711 |
+
"eval_samples_per_second": 4.104,
|
712 |
+
"eval_steps_per_second": 2.052,
|
713 |
+
"step": 320
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 0.5910434189588543,
|
717 |
+
"grad_norm": 0.6873704791069031,
|
718 |
+
"learning_rate": 7e-05,
|
719 |
+
"loss": 1.0573,
|
720 |
+
"step": 325
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 0.6001363946351443,
|
724 |
+
"grad_norm": 0.7217792868614197,
|
725 |
+
"learning_rate": 6.800000000000001e-05,
|
726 |
+
"loss": 1.0225,
|
727 |
+
"step": 330
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 0.6001363946351443,
|
731 |
+
"eval_loss": 1.0203421115875244,
|
732 |
+
"eval_runtime": 7.9938,
|
733 |
+
"eval_samples_per_second": 3.753,
|
734 |
+
"eval_steps_per_second": 1.876,
|
735 |
+
"step": 330
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 0.6092293703114344,
|
739 |
+
"grad_norm": 0.828619122505188,
|
740 |
+
"learning_rate": 6.6e-05,
|
741 |
+
"loss": 1.0272,
|
742 |
+
"step": 335
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 0.6183223459877245,
|
746 |
+
"grad_norm": 0.7822660207748413,
|
747 |
+
"learning_rate": 6.400000000000001e-05,
|
748 |
+
"loss": 0.9776,
|
749 |
+
"step": 340
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 0.6183223459877245,
|
753 |
+
"eval_loss": 1.0186898708343506,
|
754 |
+
"eval_runtime": 7.3434,
|
755 |
+
"eval_samples_per_second": 4.085,
|
756 |
+
"eval_steps_per_second": 2.043,
|
757 |
+
"step": 340
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 0.6274153216640146,
|
761 |
+
"grad_norm": 0.7307916283607483,
|
762 |
+
"learning_rate": 6.2e-05,
|
763 |
+
"loss": 1.0637,
|
764 |
+
"step": 345
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 0.6365082973403046,
|
768 |
+
"grad_norm": 0.8595789670944214,
|
769 |
+
"learning_rate": 6e-05,
|
770 |
+
"loss": 1.0571,
|
771 |
+
"step": 350
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 0.6365082973403046,
|
775 |
+
"eval_loss": 1.008802056312561,
|
776 |
+
"eval_runtime": 7.6422,
|
777 |
+
"eval_samples_per_second": 3.926,
|
778 |
+
"eval_steps_per_second": 1.963,
|
779 |
+
"step": 350
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.6456012730165946,
|
783 |
+
"grad_norm": 1.0007542371749878,
|
784 |
+
"learning_rate": 5.8e-05,
|
785 |
+
"loss": 1.1277,
|
786 |
+
"step": 355
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.6546942486928847,
|
790 |
+
"grad_norm": 0.8014799356460571,
|
791 |
+
"learning_rate": 5.6000000000000006e-05,
|
792 |
+
"loss": 1.2342,
|
793 |
+
"step": 360
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.6546942486928847,
|
797 |
+
"eval_loss": 1.0054609775543213,
|
798 |
+
"eval_runtime": 7.5443,
|
799 |
+
"eval_samples_per_second": 3.977,
|
800 |
+
"eval_steps_per_second": 1.988,
|
801 |
+
"step": 360
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.6637872243691748,
|
805 |
+
"grad_norm": 0.8301798105239868,
|
806 |
+
"learning_rate": 5.4000000000000005e-05,
|
807 |
+
"loss": 1.0886,
|
808 |
+
"step": 365
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 0.6728802000454649,
|
812 |
+
"grad_norm": 0.8582270741462708,
|
813 |
+
"learning_rate": 5.2000000000000004e-05,
|
814 |
+
"loss": 1.0834,
|
815 |
+
"step": 370
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 0.6728802000454649,
|
819 |
+
"eval_loss": 0.9980356693267822,
|
820 |
+
"eval_runtime": 7.3182,
|
821 |
+
"eval_samples_per_second": 4.099,
|
822 |
+
"eval_steps_per_second": 2.05,
|
823 |
+
"step": 370
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 0.681973175721755,
|
827 |
+
"grad_norm": 0.9084227085113525,
|
828 |
+
"learning_rate": 5e-05,
|
829 |
+
"loss": 1.0517,
|
830 |
+
"step": 375
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 0.6910661513980451,
|
834 |
+
"grad_norm": 0.8120643496513367,
|
835 |
+
"learning_rate": 4.8e-05,
|
836 |
+
"loss": 1.0931,
|
837 |
+
"step": 380
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 0.6910661513980451,
|
841 |
+
"eval_loss": 0.9912369847297668,
|
842 |
+
"eval_runtime": 7.8444,
|
843 |
+
"eval_samples_per_second": 3.824,
|
844 |
+
"eval_steps_per_second": 1.912,
|
845 |
+
"step": 380
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 0.700159127074335,
|
849 |
+
"grad_norm": 0.8523077964782715,
|
850 |
+
"learning_rate": 4.600000000000001e-05,
|
851 |
+
"loss": 1.0883,
|
852 |
+
"step": 385
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 0.7092521027506251,
|
856 |
+
"grad_norm": 0.8379296660423279,
|
857 |
+
"learning_rate": 4.4000000000000006e-05,
|
858 |
+
"loss": 1.1041,
|
859 |
+
"step": 390
|
860 |
+
},
|
861 |
+
{
|
862 |
+
"epoch": 0.7092521027506251,
|
863 |
+
"eval_loss": 0.9924930334091187,
|
864 |
+
"eval_runtime": 7.364,
|
865 |
+
"eval_samples_per_second": 4.074,
|
866 |
+
"eval_steps_per_second": 2.037,
|
867 |
+
"step": 390
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.7183450784269152,
|
871 |
+
"grad_norm": 0.9272042512893677,
|
872 |
+
"learning_rate": 4.2e-05,
|
873 |
+
"loss": 1.0839,
|
874 |
+
"step": 395
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 0.7274380541032053,
|
878 |
+
"grad_norm": 0.8774125576019287,
|
879 |
+
"learning_rate": 4e-05,
|
880 |
+
"loss": 0.9889,
|
881 |
+
"step": 400
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 0.7274380541032053,
|
885 |
+
"eval_loss": 0.9954690337181091,
|
886 |
+
"eval_runtime": 7.8404,
|
887 |
+
"eval_samples_per_second": 3.826,
|
888 |
+
"eval_steps_per_second": 1.913,
|
889 |
+
"step": 400
|
890 |
+
},
|
891 |
+
{
|
892 |
+
"epoch": 0.7365310297794954,
|
893 |
+
"grad_norm": 0.7553389072418213,
|
894 |
+
"learning_rate": 3.8e-05,
|
895 |
+
"loss": 1.0906,
|
896 |
+
"step": 405
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 0.7456240054557854,
|
900 |
+
"grad_norm": 0.7866451740264893,
|
901 |
+
"learning_rate": 3.6e-05,
|
902 |
+
"loss": 1.0219,
|
903 |
+
"step": 410
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 0.7456240054557854,
|
907 |
+
"eval_loss": 0.994717001914978,
|
908 |
+
"eval_runtime": 7.8266,
|
909 |
+
"eval_samples_per_second": 3.833,
|
910 |
+
"eval_steps_per_second": 1.917,
|
911 |
+
"step": 410
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 0.7547169811320755,
|
915 |
+
"grad_norm": 0.8554181456565857,
|
916 |
+
"learning_rate": 3.4000000000000007e-05,
|
917 |
+
"loss": 1.0598,
|
918 |
+
"step": 415
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 0.7638099568083655,
|
922 |
+
"grad_norm": 0.9773761034011841,
|
923 |
+
"learning_rate": 3.2000000000000005e-05,
|
924 |
+
"loss": 1.033,
|
925 |
+
"step": 420
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 0.7638099568083655,
|
929 |
+
"eval_loss": 0.9926409125328064,
|
930 |
+
"eval_runtime": 7.2819,
|
931 |
+
"eval_samples_per_second": 4.12,
|
932 |
+
"eval_steps_per_second": 2.06,
|
933 |
+
"step": 420
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.7729029324846556,
|
937 |
+
"grad_norm": 0.8768495917320251,
|
938 |
+
"learning_rate": 3e-05,
|
939 |
+
"loss": 1.054,
|
940 |
+
"step": 425
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.7819959081609457,
|
944 |
+
"grad_norm": 0.787002682685852,
|
945 |
+
"learning_rate": 2.8000000000000003e-05,
|
946 |
+
"loss": 1.0548,
|
947 |
+
"step": 430
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.7819959081609457,
|
951 |
+
"eval_loss": 0.9910202622413635,
|
952 |
+
"eval_runtime": 7.8704,
|
953 |
+
"eval_samples_per_second": 3.812,
|
954 |
+
"eval_steps_per_second": 1.906,
|
955 |
+
"step": 430
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 0.7910888838372357,
|
959 |
+
"grad_norm": 0.843839704990387,
|
960 |
+
"learning_rate": 2.6000000000000002e-05,
|
961 |
+
"loss": 1.0936,
|
962 |
+
"step": 435
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 0.8001818595135258,
|
966 |
+
"grad_norm": 0.9202592968940735,
|
967 |
+
"learning_rate": 2.4e-05,
|
968 |
+
"loss": 1.0684,
|
969 |
+
"step": 440
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.8001818595135258,
|
973 |
+
"eval_loss": 0.9879806637763977,
|
974 |
+
"eval_runtime": 7.292,
|
975 |
+
"eval_samples_per_second": 4.114,
|
976 |
+
"eval_steps_per_second": 2.057,
|
977 |
+
"step": 440
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.8092748351898159,
|
981 |
+
"grad_norm": 0.8747548460960388,
|
982 |
+
"learning_rate": 2.2000000000000003e-05,
|
983 |
+
"loss": 1.0185,
|
984 |
+
"step": 445
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 0.8183678108661059,
|
988 |
+
"grad_norm": 0.8311501145362854,
|
989 |
+
"learning_rate": 2e-05,
|
990 |
+
"loss": 1.0874,
|
991 |
+
"step": 450
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 0.8183678108661059,
|
995 |
+
"eval_loss": 0.9860556125640869,
|
996 |
+
"eval_runtime": 7.7936,
|
997 |
+
"eval_samples_per_second": 3.849,
|
998 |
+
"eval_steps_per_second": 1.925,
|
999 |
+
"step": 450
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 0.827460786542396,
|
1003 |
+
"grad_norm": 0.8813076615333557,
|
1004 |
+
"learning_rate": 1.8e-05,
|
1005 |
+
"loss": 1.0209,
|
1006 |
+
"step": 455
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 0.836553762218686,
|
1010 |
+
"grad_norm": 0.9480300545692444,
|
1011 |
+
"learning_rate": 1.6000000000000003e-05,
|
1012 |
+
"loss": 1.0878,
|
1013 |
+
"step": 460
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 0.836553762218686,
|
1017 |
+
"eval_loss": 0.9852551817893982,
|
1018 |
+
"eval_runtime": 7.2978,
|
1019 |
+
"eval_samples_per_second": 4.111,
|
1020 |
+
"eval_steps_per_second": 2.055,
|
1021 |
+
"step": 460
|
1022 |
+
},
|
1023 |
+
{
|
1024 |
+
"epoch": 0.8456467378949761,
|
1025 |
+
"grad_norm": 0.8942534923553467,
|
1026 |
+
"learning_rate": 1.4000000000000001e-05,
|
1027 |
+
"loss": 0.9746,
|
1028 |
+
"step": 465
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 0.8547397135712662,
|
1032 |
+
"grad_norm": 0.9491382837295532,
|
1033 |
+
"learning_rate": 1.2e-05,
|
1034 |
+
"loss": 0.9443,
|
1035 |
+
"step": 470
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 0.8547397135712662,
|
1039 |
+
"eval_loss": 0.9845015406608582,
|
1040 |
+
"eval_runtime": 7.7967,
|
1041 |
+
"eval_samples_per_second": 3.848,
|
1042 |
+
"eval_steps_per_second": 1.924,
|
1043 |
+
"step": 470
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 0.8638326892475563,
|
1047 |
+
"grad_norm": 0.9191480278968811,
|
1048 |
+
"learning_rate": 1e-05,
|
1049 |
+
"loss": 1.0311,
|
1050 |
+
"step": 475
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"epoch": 0.8729256649238464,
|
1054 |
+
"grad_norm": 0.8474745750427246,
|
1055 |
+
"learning_rate": 8.000000000000001e-06,
|
1056 |
+
"loss": 1.1006,
|
1057 |
+
"step": 480
|
1058 |
+
},
|
1059 |
+
{
|
1060 |
+
"epoch": 0.8729256649238464,
|
1061 |
+
"eval_loss": 0.9836694002151489,
|
1062 |
+
"eval_runtime": 7.3154,
|
1063 |
+
"eval_samples_per_second": 4.101,
|
1064 |
+
"eval_steps_per_second": 2.05,
|
1065 |
+
"step": 480
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.8820186406001363,
|
1069 |
+
"grad_norm": 0.8463994860649109,
|
1070 |
+
"learning_rate": 6e-06,
|
1071 |
+
"loss": 1.0196,
|
1072 |
+
"step": 485
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 0.8911116162764264,
|
1076 |
+
"grad_norm": 0.8902223706245422,
|
1077 |
+
"learning_rate": 4.000000000000001e-06,
|
1078 |
+
"loss": 1.0447,
|
1079 |
+
"step": 490
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.8911116162764264,
|
1083 |
+
"eval_loss": 0.9838915467262268,
|
1084 |
+
"eval_runtime": 7.7764,
|
1085 |
+
"eval_samples_per_second": 3.858,
|
1086 |
+
"eval_steps_per_second": 1.929,
|
1087 |
+
"step": 490
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.9002045919527165,
|
1091 |
+
"grad_norm": 0.8993239998817444,
|
1092 |
+
"learning_rate": 2.0000000000000003e-06,
|
1093 |
+
"loss": 1.0981,
|
1094 |
+
"step": 495
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.9092975676290066,
|
1098 |
+
"grad_norm": 0.8118588924407959,
|
1099 |
+
"learning_rate": 0.0,
|
1100 |
+
"loss": 1.0078,
|
1101 |
+
"step": 500
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.9092975676290066,
|
1105 |
+
"eval_loss": 0.9837616086006165,
|
1106 |
+
"eval_runtime": 7.456,
|
1107 |
+
"eval_samples_per_second": 4.024,
|
1108 |
+
"eval_steps_per_second": 2.012,
|
1109 |
+
"step": 500
|
1110 |
+
}
|
1111 |
+
],
|
1112 |
+
"logging_steps": 5,
|
1113 |
+
"max_steps": 500,
|
1114 |
+
"num_input_tokens_seen": 0,
|
1115 |
+
"num_train_epochs": 1,
|
1116 |
+
"save_steps": 20,
|
1117 |
+
"stateful_callbacks": {
|
1118 |
+
"TrainerControl": {
|
1119 |
+
"args": {
|
1120 |
+
"should_epoch_stop": false,
|
1121 |
+
"should_evaluate": false,
|
1122 |
+
"should_log": false,
|
1123 |
+
"should_save": true,
|
1124 |
+
"should_training_stop": true
|
1125 |
+
},
|
1126 |
+
"attributes": {}
|
1127 |
+
}
|
1128 |
+
},
|
1129 |
+
"total_flos": 2.068977650017795e+16,
|
1130 |
+
"train_batch_size": 2,
|
1131 |
+
"trial_name": null,
|
1132 |
+
"trial_params": null
|
1133 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:153ab890898c4154c7fb7f39e62f25c87434e7d88e70ab096f33348a8a48fdc7
|
3 |
+
size 5176
|