Upload folder using huggingface_hub
Browse files- README.md +200 -1
- 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 +1281 -0
- training_args.bin +3 -0
README.md
CHANGED
|
@@ -1,3 +1,202 @@
|
|
| 1 |
---
|
| 2 |
-
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: google/gemma-7b-it
|
| 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 0.9.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "google/gemma-7b-it",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"loftq_config": {},
|
| 12 |
+
"lora_alpha": 16,
|
| 13 |
+
"lora_dropout": 0.1,
|
| 14 |
+
"megatron_config": null,
|
| 15 |
+
"megatron_core": "megatron.core",
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 64,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"gate_proj",
|
| 23 |
+
"k_proj",
|
| 24 |
+
"q_proj",
|
| 25 |
+
"o_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"down_proj",
|
| 28 |
+
"up_proj"
|
| 29 |
+
],
|
| 30 |
+
"task_type": "CAUSAL_LM",
|
| 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:f0831cd51005a2e72359d7c111e8bcc3b2b20b1dee89a4d4cc595c475ac8e3f0
|
| 3 |
+
size 400085000
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a1d43d8c50d968c26c26e66c6f29bfb2b678efbce00b8a5d3ec2a00b6f76e7d3
|
| 3 |
+
size 401282868
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:61b880f2a8181944854bd03a18db9aa8e5866c4a09bade5591298c7b1f1920ae
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:48b7fc3797f6245276d62f5f8f8ea70cc0f5e47b5a31bb1299f8a03d566f6127
|
| 3 |
+
size 1064
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1281 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 4500,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.01,
|
| 13 |
+
"grad_norm": 2.296875,
|
| 14 |
+
"learning_rate": 8.333333333333334e-06,
|
| 15 |
+
"loss": 6.02,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.01,
|
| 20 |
+
"grad_norm": 0.63671875,
|
| 21 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 22 |
+
"loss": 5.3902,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.01,
|
| 27 |
+
"grad_norm": 1.2734375,
|
| 28 |
+
"learning_rate": 2.5e-05,
|
| 29 |
+
"loss": 4.6611,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.02,
|
| 34 |
+
"grad_norm": 7.71875,
|
| 35 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 36 |
+
"loss": 3.8627,
|
| 37 |
+
"step": 100
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.03,
|
| 41 |
+
"grad_norm": 0.5625,
|
| 42 |
+
"learning_rate": 4.166666666666667e-05,
|
| 43 |
+
"loss": 2.3529,
|
| 44 |
+
"step": 125
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.03,
|
| 48 |
+
"grad_norm": 0.53515625,
|
| 49 |
+
"learning_rate": 5e-05,
|
| 50 |
+
"loss": 1.4613,
|
| 51 |
+
"step": 150
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.04,
|
| 55 |
+
"grad_norm": 0.4453125,
|
| 56 |
+
"learning_rate": 4.999672209164081e-05,
|
| 57 |
+
"loss": 1.3771,
|
| 58 |
+
"step": 175
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.04,
|
| 62 |
+
"grad_norm": 0.5546875,
|
| 63 |
+
"learning_rate": 4.998688922613788e-05,
|
| 64 |
+
"loss": 1.3205,
|
| 65 |
+
"step": 200
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.04,
|
| 69 |
+
"grad_norm": 0.73046875,
|
| 70 |
+
"learning_rate": 4.997050398198977e-05,
|
| 71 |
+
"loss": 1.2926,
|
| 72 |
+
"step": 225
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.05,
|
| 76 |
+
"grad_norm": 0.50390625,
|
| 77 |
+
"learning_rate": 4.9947570655942796e-05,
|
| 78 |
+
"loss": 1.2837,
|
| 79 |
+
"step": 250
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.06,
|
| 83 |
+
"grad_norm": 0.5703125,
|
| 84 |
+
"learning_rate": 4.991809526186424e-05,
|
| 85 |
+
"loss": 1.3392,
|
| 86 |
+
"step": 275
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.06,
|
| 90 |
+
"grad_norm": 0.46484375,
|
| 91 |
+
"learning_rate": 4.988208552916535e-05,
|
| 92 |
+
"loss": 1.187,
|
| 93 |
+
"step": 300
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.07,
|
| 97 |
+
"grad_norm": 0.447265625,
|
| 98 |
+
"learning_rate": 4.983955090077444e-05,
|
| 99 |
+
"loss": 1.2047,
|
| 100 |
+
"step": 325
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.07,
|
| 104 |
+
"grad_norm": 0.494140625,
|
| 105 |
+
"learning_rate": 4.9790502530660635e-05,
|
| 106 |
+
"loss": 1.2062,
|
| 107 |
+
"step": 350
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.07,
|
| 111 |
+
"grad_norm": 0.55859375,
|
| 112 |
+
"learning_rate": 4.9734953280908904e-05,
|
| 113 |
+
"loss": 1.248,
|
| 114 |
+
"step": 375
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.08,
|
| 118 |
+
"grad_norm": 0.82421875,
|
| 119 |
+
"learning_rate": 4.967291771834727e-05,
|
| 120 |
+
"loss": 1.225,
|
| 121 |
+
"step": 400
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.09,
|
| 125 |
+
"grad_norm": 0.484375,
|
| 126 |
+
"learning_rate": 4.960441211072686e-05,
|
| 127 |
+
"loss": 1.2077,
|
| 128 |
+
"step": 425
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.09,
|
| 132 |
+
"grad_norm": 0.5078125,
|
| 133 |
+
"learning_rate": 4.9529454422455976e-05,
|
| 134 |
+
"loss": 1.2046,
|
| 135 |
+
"step": 450
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.1,
|
| 139 |
+
"grad_norm": 0.404296875,
|
| 140 |
+
"learning_rate": 4.944806430988927e-05,
|
| 141 |
+
"loss": 1.2055,
|
| 142 |
+
"step": 475
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.1,
|
| 146 |
+
"grad_norm": 0.546875,
|
| 147 |
+
"learning_rate": 4.936026311617316e-05,
|
| 148 |
+
"loss": 1.2438,
|
| 149 |
+
"step": 500
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.1,
|
| 153 |
+
"grad_norm": 0.462890625,
|
| 154 |
+
"learning_rate": 4.926607386564898e-05,
|
| 155 |
+
"loss": 1.2093,
|
| 156 |
+
"step": 525
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.11,
|
| 160 |
+
"grad_norm": 0.50390625,
|
| 161 |
+
"learning_rate": 4.916552125781528e-05,
|
| 162 |
+
"loss": 1.1535,
|
| 163 |
+
"step": 550
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.12,
|
| 167 |
+
"grad_norm": 0.53125,
|
| 168 |
+
"learning_rate": 4.9058631660850765e-05,
|
| 169 |
+
"loss": 1.2239,
|
| 170 |
+
"step": 575
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.12,
|
| 174 |
+
"grad_norm": 0.50390625,
|
| 175 |
+
"learning_rate": 4.894543310469968e-05,
|
| 176 |
+
"loss": 1.1454,
|
| 177 |
+
"step": 600
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.12,
|
| 181 |
+
"grad_norm": 0.61328125,
|
| 182 |
+
"learning_rate": 4.882595527372152e-05,
|
| 183 |
+
"loss": 1.1234,
|
| 184 |
+
"step": 625
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.13,
|
| 188 |
+
"grad_norm": 0.486328125,
|
| 189 |
+
"learning_rate": 4.870022949890676e-05,
|
| 190 |
+
"loss": 1.1888,
|
| 191 |
+
"step": 650
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.14,
|
| 195 |
+
"grad_norm": 0.57421875,
|
| 196 |
+
"learning_rate": 4.856828874966086e-05,
|
| 197 |
+
"loss": 1.1476,
|
| 198 |
+
"step": 675
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.14,
|
| 202 |
+
"grad_norm": 0.435546875,
|
| 203 |
+
"learning_rate": 4.8430167625158595e-05,
|
| 204 |
+
"loss": 1.2208,
|
| 205 |
+
"step": 700
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.14,
|
| 209 |
+
"grad_norm": 0.49609375,
|
| 210 |
+
"learning_rate": 4.828590234527106e-05,
|
| 211 |
+
"loss": 1.16,
|
| 212 |
+
"step": 725
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.15,
|
| 216 |
+
"grad_norm": 0.40625,
|
| 217 |
+
"learning_rate": 4.813553074106761e-05,
|
| 218 |
+
"loss": 1.1312,
|
| 219 |
+
"step": 750
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.15,
|
| 223 |
+
"grad_norm": 0.53125,
|
| 224 |
+
"learning_rate": 4.7979092244895305e-05,
|
| 225 |
+
"loss": 1.1732,
|
| 226 |
+
"step": 775
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.16,
|
| 230 |
+
"grad_norm": 0.498046875,
|
| 231 |
+
"learning_rate": 4.781662788003851e-05,
|
| 232 |
+
"loss": 1.1404,
|
| 233 |
+
"step": 800
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.17,
|
| 237 |
+
"grad_norm": 0.484375,
|
| 238 |
+
"learning_rate": 4.764818024996117e-05,
|
| 239 |
+
"loss": 1.1498,
|
| 240 |
+
"step": 825
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.17,
|
| 244 |
+
"grad_norm": 0.5859375,
|
| 245 |
+
"learning_rate": 4.747379352713489e-05,
|
| 246 |
+
"loss": 1.148,
|
| 247 |
+
"step": 850
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.17,
|
| 251 |
+
"grad_norm": 0.5234375,
|
| 252 |
+
"learning_rate": 4.7293513441455364e-05,
|
| 253 |
+
"loss": 1.1245,
|
| 254 |
+
"step": 875
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.18,
|
| 258 |
+
"grad_norm": 0.49609375,
|
| 259 |
+
"learning_rate": 4.710738726825059e-05,
|
| 260 |
+
"loss": 1.0975,
|
| 261 |
+
"step": 900
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.18,
|
| 265 |
+
"grad_norm": 0.5390625,
|
| 266 |
+
"learning_rate": 4.69154638158837e-05,
|
| 267 |
+
"loss": 1.1204,
|
| 268 |
+
"step": 925
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.19,
|
| 272 |
+
"grad_norm": 0.55078125,
|
| 273 |
+
"learning_rate": 4.671779341295378e-05,
|
| 274 |
+
"loss": 1.1291,
|
| 275 |
+
"step": 950
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.2,
|
| 279 |
+
"grad_norm": 0.46484375,
|
| 280 |
+
"learning_rate": 4.6514427895098134e-05,
|
| 281 |
+
"loss": 1.1382,
|
| 282 |
+
"step": 975
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.2,
|
| 286 |
+
"grad_norm": 0.65625,
|
| 287 |
+
"learning_rate": 4.630542059139924e-05,
|
| 288 |
+
"loss": 1.1861,
|
| 289 |
+
"step": 1000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.2,
|
| 293 |
+
"grad_norm": 0.73046875,
|
| 294 |
+
"learning_rate": 4.6090826310400116e-05,
|
| 295 |
+
"loss": 1.1358,
|
| 296 |
+
"step": 1025
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.21,
|
| 300 |
+
"grad_norm": 0.57421875,
|
| 301 |
+
"learning_rate": 4.587070132573178e-05,
|
| 302 |
+
"loss": 1.115,
|
| 303 |
+
"step": 1050
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.21,
|
| 307 |
+
"grad_norm": 0.69921875,
|
| 308 |
+
"learning_rate": 4.5645103361356415e-05,
|
| 309 |
+
"loss": 1.0639,
|
| 310 |
+
"step": 1075
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.22,
|
| 314 |
+
"grad_norm": 0.51953125,
|
| 315 |
+
"learning_rate": 4.541409157643027e-05,
|
| 316 |
+
"loss": 1.1185,
|
| 317 |
+
"step": 1100
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.23,
|
| 321 |
+
"grad_norm": 0.65234375,
|
| 322 |
+
"learning_rate": 4.517772654979023e-05,
|
| 323 |
+
"loss": 1.1038,
|
| 324 |
+
"step": 1125
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.23,
|
| 328 |
+
"grad_norm": 0.498046875,
|
| 329 |
+
"learning_rate": 4.493607026406802e-05,
|
| 330 |
+
"loss": 1.0626,
|
| 331 |
+
"step": 1150
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.23,
|
| 335 |
+
"grad_norm": 0.46484375,
|
| 336 |
+
"learning_rate": 4.4689186089436366e-05,
|
| 337 |
+
"loss": 1.0829,
|
| 338 |
+
"step": 1175
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.24,
|
| 342 |
+
"grad_norm": 0.53515625,
|
| 343 |
+
"learning_rate": 4.443713876699124e-05,
|
| 344 |
+
"loss": 1.1554,
|
| 345 |
+
"step": 1200
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.24,
|
| 349 |
+
"grad_norm": 0.486328125,
|
| 350 |
+
"learning_rate": 4.417999439177466e-05,
|
| 351 |
+
"loss": 1.0713,
|
| 352 |
+
"step": 1225
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.25,
|
| 356 |
+
"grad_norm": 0.5078125,
|
| 357 |
+
"learning_rate": 4.391782039544238e-05,
|
| 358 |
+
"loss": 1.0986,
|
| 359 |
+
"step": 1250
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.26,
|
| 363 |
+
"grad_norm": 0.474609375,
|
| 364 |
+
"learning_rate": 4.365068552858115e-05,
|
| 365 |
+
"loss": 1.0185,
|
| 366 |
+
"step": 1275
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.26,
|
| 370 |
+
"grad_norm": 0.53515625,
|
| 371 |
+
"learning_rate": 4.337865984268001e-05,
|
| 372 |
+
"loss": 1.0955,
|
| 373 |
+
"step": 1300
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.27,
|
| 377 |
+
"grad_norm": 0.58984375,
|
| 378 |
+
"learning_rate": 4.3101814671760546e-05,
|
| 379 |
+
"loss": 1.0747,
|
| 380 |
+
"step": 1325
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.27,
|
| 384 |
+
"grad_norm": 0.53515625,
|
| 385 |
+
"learning_rate": 4.2820222613670736e-05,
|
| 386 |
+
"loss": 1.0395,
|
| 387 |
+
"step": 1350
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.28,
|
| 391 |
+
"grad_norm": 0.63671875,
|
| 392 |
+
"learning_rate": 4.253395751104748e-05,
|
| 393 |
+
"loss": 1.0798,
|
| 394 |
+
"step": 1375
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.28,
|
| 398 |
+
"grad_norm": 0.828125,
|
| 399 |
+
"learning_rate": 4.224309443195261e-05,
|
| 400 |
+
"loss": 1.154,
|
| 401 |
+
"step": 1400
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.28,
|
| 405 |
+
"grad_norm": 0.6015625,
|
| 406 |
+
"learning_rate": 4.194770965018758e-05,
|
| 407 |
+
"loss": 1.0445,
|
| 408 |
+
"step": 1425
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.29,
|
| 412 |
+
"grad_norm": 0.5859375,
|
| 413 |
+
"learning_rate": 4.164788062529203e-05,
|
| 414 |
+
"loss": 1.0651,
|
| 415 |
+
"step": 1450
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.29,
|
| 419 |
+
"grad_norm": 0.5,
|
| 420 |
+
"learning_rate": 4.134368598223132e-05,
|
| 421 |
+
"loss": 1.1505,
|
| 422 |
+
"step": 1475
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.3,
|
| 426 |
+
"grad_norm": 0.52734375,
|
| 427 |
+
"learning_rate": 4.10352054907785e-05,
|
| 428 |
+
"loss": 1.085,
|
| 429 |
+
"step": 1500
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.3,
|
| 433 |
+
"grad_norm": 0.53515625,
|
| 434 |
+
"learning_rate": 4.072252004459611e-05,
|
| 435 |
+
"loss": 1.095,
|
| 436 |
+
"step": 1525
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.31,
|
| 440 |
+
"grad_norm": 0.8046875,
|
| 441 |
+
"learning_rate": 4.0405711640023186e-05,
|
| 442 |
+
"loss": 1.0373,
|
| 443 |
+
"step": 1550
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.32,
|
| 447 |
+
"grad_norm": 0.6015625,
|
| 448 |
+
"learning_rate": 4.008486335457312e-05,
|
| 449 |
+
"loss": 1.0507,
|
| 450 |
+
"step": 1575
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.32,
|
| 454 |
+
"grad_norm": 0.578125,
|
| 455 |
+
"learning_rate": 3.976005932514807e-05,
|
| 456 |
+
"loss": 1.0545,
|
| 457 |
+
"step": 1600
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.33,
|
| 461 |
+
"grad_norm": 0.65625,
|
| 462 |
+
"learning_rate": 3.943138472597549e-05,
|
| 463 |
+
"loss": 1.0342,
|
| 464 |
+
"step": 1625
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.33,
|
| 468 |
+
"grad_norm": 0.609375,
|
| 469 |
+
"learning_rate": 3.909892574627266e-05,
|
| 470 |
+
"loss": 1.0948,
|
| 471 |
+
"step": 1650
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.34,
|
| 475 |
+
"grad_norm": 0.59765625,
|
| 476 |
+
"learning_rate": 3.876276956764509e-05,
|
| 477 |
+
"loss": 0.9903,
|
| 478 |
+
"step": 1675
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.34,
|
| 482 |
+
"grad_norm": 0.5625,
|
| 483 |
+
"learning_rate": 3.84230043412246e-05,
|
| 484 |
+
"loss": 1.058,
|
| 485 |
+
"step": 1700
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.34,
|
| 489 |
+
"grad_norm": 0.515625,
|
| 490 |
+
"learning_rate": 3.807971916455325e-05,
|
| 491 |
+
"loss": 0.9873,
|
| 492 |
+
"step": 1725
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.35,
|
| 496 |
+
"grad_norm": 0.55859375,
|
| 497 |
+
"learning_rate": 3.773300405821908e-05,
|
| 498 |
+
"loss": 1.0034,
|
| 499 |
+
"step": 1750
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.35,
|
| 503 |
+
"grad_norm": 0.60546875,
|
| 504 |
+
"learning_rate": 3.7382949942249694e-05,
|
| 505 |
+
"loss": 1.0152,
|
| 506 |
+
"step": 1775
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.36,
|
| 510 |
+
"grad_norm": 0.578125,
|
| 511 |
+
"learning_rate": 3.702964861227013e-05,
|
| 512 |
+
"loss": 1.0289,
|
| 513 |
+
"step": 1800
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.36,
|
| 517 |
+
"grad_norm": 0.65625,
|
| 518 |
+
"learning_rate": 3.6673192715431015e-05,
|
| 519 |
+
"loss": 0.9901,
|
| 520 |
+
"step": 1825
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.37,
|
| 524 |
+
"grad_norm": 0.63671875,
|
| 525 |
+
"learning_rate": 3.631367572611348e-05,
|
| 526 |
+
"loss": 0.9345,
|
| 527 |
+
"step": 1850
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.38,
|
| 531 |
+
"grad_norm": 0.671875,
|
| 532 |
+
"learning_rate": 3.595119192141706e-05,
|
| 533 |
+
"loss": 1.035,
|
| 534 |
+
"step": 1875
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.38,
|
| 538 |
+
"grad_norm": 0.6328125,
|
| 539 |
+
"learning_rate": 3.5585836356437264e-05,
|
| 540 |
+
"loss": 1.0689,
|
| 541 |
+
"step": 1900
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.39,
|
| 545 |
+
"grad_norm": 0.6015625,
|
| 546 |
+
"learning_rate": 3.521770483933891e-05,
|
| 547 |
+
"loss": 0.9883,
|
| 548 |
+
"step": 1925
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.39,
|
| 552 |
+
"grad_norm": 0.51953125,
|
| 553 |
+
"learning_rate": 3.484689390623218e-05,
|
| 554 |
+
"loss": 1.0279,
|
| 555 |
+
"step": 1950
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.4,
|
| 559 |
+
"grad_norm": 0.6484375,
|
| 560 |
+
"learning_rate": 3.447350079585767e-05,
|
| 561 |
+
"loss": 1.0602,
|
| 562 |
+
"step": 1975
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.4,
|
| 566 |
+
"grad_norm": 0.59375,
|
| 567 |
+
"learning_rate": 3.409762342408719e-05,
|
| 568 |
+
"loss": 1.0178,
|
| 569 |
+
"step": 2000
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.41,
|
| 573 |
+
"grad_norm": 0.6484375,
|
| 574 |
+
"learning_rate": 3.3719360358247054e-05,
|
| 575 |
+
"loss": 1.0243,
|
| 576 |
+
"step": 2025
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.41,
|
| 580 |
+
"grad_norm": 0.640625,
|
| 581 |
+
"learning_rate": 3.333881079127052e-05,
|
| 582 |
+
"loss": 1.0175,
|
| 583 |
+
"step": 2050
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.41,
|
| 587 |
+
"grad_norm": 0.69140625,
|
| 588 |
+
"learning_rate": 3.29560745156861e-05,
|
| 589 |
+
"loss": 0.921,
|
| 590 |
+
"step": 2075
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.42,
|
| 594 |
+
"grad_norm": 0.65234375,
|
| 595 |
+
"learning_rate": 3.2571251897448765e-05,
|
| 596 |
+
"loss": 0.9597,
|
| 597 |
+
"step": 2100
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.42,
|
| 601 |
+
"grad_norm": 0.51171875,
|
| 602 |
+
"learning_rate": 3.218444384962071e-05,
|
| 603 |
+
"loss": 0.9761,
|
| 604 |
+
"step": 2125
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.43,
|
| 608 |
+
"grad_norm": 0.640625,
|
| 609 |
+
"learning_rate": 3.1795751805908573e-05,
|
| 610 |
+
"loss": 0.9706,
|
| 611 |
+
"step": 2150
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.43,
|
| 615 |
+
"grad_norm": 0.6640625,
|
| 616 |
+
"learning_rate": 3.1405277694064305e-05,
|
| 617 |
+
"loss": 0.932,
|
| 618 |
+
"step": 2175
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.44,
|
| 622 |
+
"grad_norm": 0.6796875,
|
| 623 |
+
"learning_rate": 3.101312390915634e-05,
|
| 624 |
+
"loss": 0.9486,
|
| 625 |
+
"step": 2200
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.45,
|
| 629 |
+
"grad_norm": 0.69140625,
|
| 630 |
+
"learning_rate": 3.061939328671824e-05,
|
| 631 |
+
"loss": 1.011,
|
| 632 |
+
"step": 2225
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.45,
|
| 636 |
+
"grad_norm": 0.60546875,
|
| 637 |
+
"learning_rate": 3.0224189075781884e-05,
|
| 638 |
+
"loss": 0.9463,
|
| 639 |
+
"step": 2250
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.46,
|
| 643 |
+
"grad_norm": 0.6796875,
|
| 644 |
+
"learning_rate": 2.9827614911802203e-05,
|
| 645 |
+
"loss": 0.9989,
|
| 646 |
+
"step": 2275
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.46,
|
| 650 |
+
"grad_norm": 0.7109375,
|
| 651 |
+
"learning_rate": 2.9429774789480575e-05,
|
| 652 |
+
"loss": 0.9677,
|
| 653 |
+
"step": 2300
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.47,
|
| 657 |
+
"grad_norm": 0.62890625,
|
| 658 |
+
"learning_rate": 2.9030773035493997e-05,
|
| 659 |
+
"loss": 0.9739,
|
| 660 |
+
"step": 2325
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.47,
|
| 664 |
+
"grad_norm": 0.69140625,
|
| 665 |
+
"learning_rate": 2.863071428113726e-05,
|
| 666 |
+
"loss": 1.0254,
|
| 667 |
+
"step": 2350
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.47,
|
| 671 |
+
"grad_norm": 0.8203125,
|
| 672 |
+
"learning_rate": 2.8229703434885163e-05,
|
| 673 |
+
"loss": 0.9969,
|
| 674 |
+
"step": 2375
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.48,
|
| 678 |
+
"grad_norm": 0.56640625,
|
| 679 |
+
"learning_rate": 2.782784565488211e-05,
|
| 680 |
+
"loss": 0.9918,
|
| 681 |
+
"step": 2400
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.48,
|
| 685 |
+
"grad_norm": 0.58203125,
|
| 686 |
+
"learning_rate": 2.7425246321366203e-05,
|
| 687 |
+
"loss": 1.0169,
|
| 688 |
+
"step": 2425
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.49,
|
| 692 |
+
"grad_norm": 0.75,
|
| 693 |
+
"learning_rate": 2.7022011009035107e-05,
|
| 694 |
+
"loss": 0.9844,
|
| 695 |
+
"step": 2450
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.49,
|
| 699 |
+
"grad_norm": 0.7265625,
|
| 700 |
+
"learning_rate": 2.6618245459360897e-05,
|
| 701 |
+
"loss": 1.026,
|
| 702 |
+
"step": 2475
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.5,
|
| 706 |
+
"grad_norm": 0.671875,
|
| 707 |
+
"learning_rate": 2.621405555286121e-05,
|
| 708 |
+
"loss": 0.9333,
|
| 709 |
+
"step": 2500
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.51,
|
| 713 |
+
"grad_norm": 0.6875,
|
| 714 |
+
"learning_rate": 2.5809547281333902e-05,
|
| 715 |
+
"loss": 1.0336,
|
| 716 |
+
"step": 2525
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.51,
|
| 720 |
+
"grad_norm": 0.63671875,
|
| 721 |
+
"learning_rate": 2.540482672006254e-05,
|
| 722 |
+
"loss": 0.9375,
|
| 723 |
+
"step": 2550
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.52,
|
| 727 |
+
"grad_norm": 0.87109375,
|
| 728 |
+
"learning_rate": 2.5e-05,
|
| 729 |
+
"loss": 0.9441,
|
| 730 |
+
"step": 2575
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.52,
|
| 734 |
+
"grad_norm": 0.7265625,
|
| 735 |
+
"learning_rate": 2.4595173279937464e-05,
|
| 736 |
+
"loss": 0.9643,
|
| 737 |
+
"step": 2600
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.53,
|
| 741 |
+
"grad_norm": 0.67578125,
|
| 742 |
+
"learning_rate": 2.419045271866611e-05,
|
| 743 |
+
"loss": 0.9172,
|
| 744 |
+
"step": 2625
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.53,
|
| 748 |
+
"grad_norm": 0.87109375,
|
| 749 |
+
"learning_rate": 2.3785944447138802e-05,
|
| 750 |
+
"loss": 0.8813,
|
| 751 |
+
"step": 2650
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.54,
|
| 755 |
+
"grad_norm": 0.8046875,
|
| 756 |
+
"learning_rate": 2.338175454063911e-05,
|
| 757 |
+
"loss": 0.9638,
|
| 758 |
+
"step": 2675
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.54,
|
| 762 |
+
"grad_norm": 0.859375,
|
| 763 |
+
"learning_rate": 2.29779889909649e-05,
|
| 764 |
+
"loss": 0.9476,
|
| 765 |
+
"step": 2700
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.55,
|
| 769 |
+
"grad_norm": 0.6796875,
|
| 770 |
+
"learning_rate": 2.25747536786338e-05,
|
| 771 |
+
"loss": 0.9536,
|
| 772 |
+
"step": 2725
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.55,
|
| 776 |
+
"grad_norm": 0.77734375,
|
| 777 |
+
"learning_rate": 2.2172154345117894e-05,
|
| 778 |
+
"loss": 0.9308,
|
| 779 |
+
"step": 2750
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.56,
|
| 783 |
+
"grad_norm": 0.734375,
|
| 784 |
+
"learning_rate": 2.177029656511485e-05,
|
| 785 |
+
"loss": 0.9432,
|
| 786 |
+
"step": 2775
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.56,
|
| 790 |
+
"grad_norm": 0.66015625,
|
| 791 |
+
"learning_rate": 2.136928571886275e-05,
|
| 792 |
+
"loss": 0.9253,
|
| 793 |
+
"step": 2800
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.56,
|
| 797 |
+
"grad_norm": 0.69921875,
|
| 798 |
+
"learning_rate": 2.0969226964506006e-05,
|
| 799 |
+
"loss": 0.9301,
|
| 800 |
+
"step": 2825
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.57,
|
| 804 |
+
"grad_norm": 0.7578125,
|
| 805 |
+
"learning_rate": 2.0570225210519434e-05,
|
| 806 |
+
"loss": 0.9509,
|
| 807 |
+
"step": 2850
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.57,
|
| 811 |
+
"grad_norm": 0.7421875,
|
| 812 |
+
"learning_rate": 2.0172385088197803e-05,
|
| 813 |
+
"loss": 0.8995,
|
| 814 |
+
"step": 2875
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.58,
|
| 818 |
+
"grad_norm": 0.8125,
|
| 819 |
+
"learning_rate": 1.9775810924218125e-05,
|
| 820 |
+
"loss": 0.8682,
|
| 821 |
+
"step": 2900
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.58,
|
| 825 |
+
"grad_norm": 0.8203125,
|
| 826 |
+
"learning_rate": 1.9380606713281775e-05,
|
| 827 |
+
"loss": 0.9384,
|
| 828 |
+
"step": 2925
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.59,
|
| 832 |
+
"grad_norm": 0.76171875,
|
| 833 |
+
"learning_rate": 1.8986876090843667e-05,
|
| 834 |
+
"loss": 0.9545,
|
| 835 |
+
"step": 2950
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.59,
|
| 839 |
+
"grad_norm": 0.74609375,
|
| 840 |
+
"learning_rate": 1.859472230593569e-05,
|
| 841 |
+
"loss": 0.8595,
|
| 842 |
+
"step": 2975
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.6,
|
| 846 |
+
"grad_norm": 0.8125,
|
| 847 |
+
"learning_rate": 1.820424819409143e-05,
|
| 848 |
+
"loss": 0.9636,
|
| 849 |
+
"step": 3000
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.6,
|
| 853 |
+
"grad_norm": 0.75390625,
|
| 854 |
+
"learning_rate": 1.7815556150379298e-05,
|
| 855 |
+
"loss": 0.973,
|
| 856 |
+
"step": 3025
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.61,
|
| 860 |
+
"grad_norm": 0.73828125,
|
| 861 |
+
"learning_rate": 1.7428748102551237e-05,
|
| 862 |
+
"loss": 0.9182,
|
| 863 |
+
"step": 3050
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.61,
|
| 867 |
+
"grad_norm": 0.85546875,
|
| 868 |
+
"learning_rate": 1.704392548431391e-05,
|
| 869 |
+
"loss": 0.9419,
|
| 870 |
+
"step": 3075
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.62,
|
| 874 |
+
"grad_norm": 0.71484375,
|
| 875 |
+
"learning_rate": 1.666118920872949e-05,
|
| 876 |
+
"loss": 0.8826,
|
| 877 |
+
"step": 3100
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.62,
|
| 881 |
+
"grad_norm": 0.83203125,
|
| 882 |
+
"learning_rate": 1.6280639641752942e-05,
|
| 883 |
+
"loss": 0.8989,
|
| 884 |
+
"step": 3125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.63,
|
| 888 |
+
"grad_norm": 0.8125,
|
| 889 |
+
"learning_rate": 1.5902376575912815e-05,
|
| 890 |
+
"loss": 0.8946,
|
| 891 |
+
"step": 3150
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.64,
|
| 895 |
+
"grad_norm": 0.7734375,
|
| 896 |
+
"learning_rate": 1.552649920414233e-05,
|
| 897 |
+
"loss": 0.8636,
|
| 898 |
+
"step": 3175
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.64,
|
| 902 |
+
"grad_norm": 0.91015625,
|
| 903 |
+
"learning_rate": 1.5153106093767827e-05,
|
| 904 |
+
"loss": 0.9318,
|
| 905 |
+
"step": 3200
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.65,
|
| 909 |
+
"grad_norm": 0.80078125,
|
| 910 |
+
"learning_rate": 1.4782295160661103e-05,
|
| 911 |
+
"loss": 0.9496,
|
| 912 |
+
"step": 3225
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.65,
|
| 916 |
+
"grad_norm": 0.734375,
|
| 917 |
+
"learning_rate": 1.4414163643562755e-05,
|
| 918 |
+
"loss": 0.8607,
|
| 919 |
+
"step": 3250
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.66,
|
| 923 |
+
"grad_norm": 0.7734375,
|
| 924 |
+
"learning_rate": 1.4048808078582942e-05,
|
| 925 |
+
"loss": 0.8367,
|
| 926 |
+
"step": 3275
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.66,
|
| 930 |
+
"grad_norm": 0.83203125,
|
| 931 |
+
"learning_rate": 1.368632427388653e-05,
|
| 932 |
+
"loss": 0.9584,
|
| 933 |
+
"step": 3300
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.67,
|
| 937 |
+
"grad_norm": 0.80859375,
|
| 938 |
+
"learning_rate": 1.3326807284568984e-05,
|
| 939 |
+
"loss": 0.8844,
|
| 940 |
+
"step": 3325
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.67,
|
| 944 |
+
"grad_norm": 0.87890625,
|
| 945 |
+
"learning_rate": 1.2970351387729873e-05,
|
| 946 |
+
"loss": 0.9125,
|
| 947 |
+
"step": 3350
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.68,
|
| 951 |
+
"grad_norm": 0.74609375,
|
| 952 |
+
"learning_rate": 1.2617050057750322e-05,
|
| 953 |
+
"loss": 0.9229,
|
| 954 |
+
"step": 3375
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.68,
|
| 958 |
+
"grad_norm": 0.80078125,
|
| 959 |
+
"learning_rate": 1.2266995941780934e-05,
|
| 960 |
+
"loss": 0.9541,
|
| 961 |
+
"step": 3400
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.69,
|
| 965 |
+
"grad_norm": 0.8359375,
|
| 966 |
+
"learning_rate": 1.1920280835446748e-05,
|
| 967 |
+
"loss": 0.8816,
|
| 968 |
+
"step": 3425
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.69,
|
| 972 |
+
"grad_norm": 0.82421875,
|
| 973 |
+
"learning_rate": 1.1576995658775405e-05,
|
| 974 |
+
"loss": 0.862,
|
| 975 |
+
"step": 3450
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.69,
|
| 979 |
+
"grad_norm": 0.80078125,
|
| 980 |
+
"learning_rate": 1.1237230432354912e-05,
|
| 981 |
+
"loss": 0.8541,
|
| 982 |
+
"step": 3475
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.7,
|
| 986 |
+
"grad_norm": 0.8203125,
|
| 987 |
+
"learning_rate": 1.0901074253727336e-05,
|
| 988 |
+
"loss": 0.8586,
|
| 989 |
+
"step": 3500
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.7,
|
| 993 |
+
"grad_norm": 0.7890625,
|
| 994 |
+
"learning_rate": 1.0568615274024522e-05,
|
| 995 |
+
"loss": 0.9033,
|
| 996 |
+
"step": 3525
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.71,
|
| 1000 |
+
"grad_norm": 0.7890625,
|
| 1001 |
+
"learning_rate": 1.0239940674851941e-05,
|
| 1002 |
+
"loss": 0.8456,
|
| 1003 |
+
"step": 3550
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.71,
|
| 1007 |
+
"grad_norm": 0.91796875,
|
| 1008 |
+
"learning_rate": 9.915136645426884e-06,
|
| 1009 |
+
"loss": 0.9165,
|
| 1010 |
+
"step": 3575
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.72,
|
| 1014 |
+
"grad_norm": 0.80859375,
|
| 1015 |
+
"learning_rate": 9.594288359976817e-06,
|
| 1016 |
+
"loss": 0.8225,
|
| 1017 |
+
"step": 3600
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.72,
|
| 1021 |
+
"grad_norm": 0.85546875,
|
| 1022 |
+
"learning_rate": 9.277479955403887e-06,
|
| 1023 |
+
"loss": 0.815,
|
| 1024 |
+
"step": 3625
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.73,
|
| 1028 |
+
"grad_norm": 0.6640625,
|
| 1029 |
+
"learning_rate": 8.964794509221508e-06,
|
| 1030 |
+
"loss": 0.8517,
|
| 1031 |
+
"step": 3650
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.73,
|
| 1035 |
+
"grad_norm": 0.8125,
|
| 1036 |
+
"learning_rate": 8.656314017768693e-06,
|
| 1037 |
+
"loss": 0.9108,
|
| 1038 |
+
"step": 3675
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.74,
|
| 1042 |
+
"grad_norm": 0.8671875,
|
| 1043 |
+
"learning_rate": 8.352119374707978e-06,
|
| 1044 |
+
"loss": 0.8665,
|
| 1045 |
+
"step": 3700
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.74,
|
| 1049 |
+
"grad_norm": 0.8359375,
|
| 1050 |
+
"learning_rate": 8.052290349812419e-06,
|
| 1051 |
+
"loss": 0.875,
|
| 1052 |
+
"step": 3725
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.75,
|
| 1056 |
+
"grad_norm": 0.8359375,
|
| 1057 |
+
"learning_rate": 7.756905568047393e-06,
|
| 1058 |
+
"loss": 0.9181,
|
| 1059 |
+
"step": 3750
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.76,
|
| 1063 |
+
"grad_norm": 0.91015625,
|
| 1064 |
+
"learning_rate": 7.466042488952521e-06,
|
| 1065 |
+
"loss": 0.8715,
|
| 1066 |
+
"step": 3775
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.76,
|
| 1070 |
+
"grad_norm": 0.74609375,
|
| 1071 |
+
"learning_rate": 7.179777386329276e-06,
|
| 1072 |
+
"loss": 0.9051,
|
| 1073 |
+
"step": 3800
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.77,
|
| 1077 |
+
"grad_norm": 0.796875,
|
| 1078 |
+
"learning_rate": 6.898185328239468e-06,
|
| 1079 |
+
"loss": 0.871,
|
| 1080 |
+
"step": 3825
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.77,
|
| 1084 |
+
"grad_norm": 0.71875,
|
| 1085 |
+
"learning_rate": 6.621340157319997e-06,
|
| 1086 |
+
"loss": 0.8633,
|
| 1087 |
+
"step": 3850
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.78,
|
| 1091 |
+
"grad_norm": 0.98046875,
|
| 1092 |
+
"learning_rate": 6.349314471418849e-06,
|
| 1093 |
+
"loss": 0.8513,
|
| 1094 |
+
"step": 3875
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.78,
|
| 1098 |
+
"grad_norm": 0.81640625,
|
| 1099 |
+
"learning_rate": 6.082179604557617e-06,
|
| 1100 |
+
"loss": 0.8063,
|
| 1101 |
+
"step": 3900
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.79,
|
| 1105 |
+
"grad_norm": 0.80078125,
|
| 1106 |
+
"learning_rate": 5.820005608225346e-06,
|
| 1107 |
+
"loss": 0.8652,
|
| 1108 |
+
"step": 3925
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.79,
|
| 1112 |
+
"grad_norm": 0.81640625,
|
| 1113 |
+
"learning_rate": 5.562861233008774e-06,
|
| 1114 |
+
"loss": 0.872,
|
| 1115 |
+
"step": 3950
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.8,
|
| 1119 |
+
"grad_norm": 0.74609375,
|
| 1120 |
+
"learning_rate": 5.310813910563644e-06,
|
| 1121 |
+
"loss": 0.849,
|
| 1122 |
+
"step": 3975
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.8,
|
| 1126 |
+
"grad_norm": 0.79296875,
|
| 1127 |
+
"learning_rate": 5.063929735931985e-06,
|
| 1128 |
+
"loss": 0.8926,
|
| 1129 |
+
"step": 4000
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.81,
|
| 1133 |
+
"grad_norm": 0.77734375,
|
| 1134 |
+
"learning_rate": 4.8222734502097665e-06,
|
| 1135 |
+
"loss": 0.8093,
|
| 1136 |
+
"step": 4025
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.81,
|
| 1140 |
+
"grad_norm": 0.8515625,
|
| 1141 |
+
"learning_rate": 4.585908423569724e-06,
|
| 1142 |
+
"loss": 0.8563,
|
| 1143 |
+
"step": 4050
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.81,
|
| 1147 |
+
"grad_norm": 0.97265625,
|
| 1148 |
+
"learning_rate": 4.35489663864359e-06,
|
| 1149 |
+
"loss": 0.8393,
|
| 1150 |
+
"step": 4075
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.82,
|
| 1154 |
+
"grad_norm": 0.8984375,
|
| 1155 |
+
"learning_rate": 4.129298674268225e-06,
|
| 1156 |
+
"loss": 0.9031,
|
| 1157 |
+
"step": 4100
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.82,
|
| 1161 |
+
"grad_norm": 0.9296875,
|
| 1162 |
+
"learning_rate": 3.90917368959989e-06,
|
| 1163 |
+
"loss": 0.8981,
|
| 1164 |
+
"step": 4125
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.83,
|
| 1168 |
+
"grad_norm": 0.8828125,
|
| 1169 |
+
"learning_rate": 3.694579408600771e-06,
|
| 1170 |
+
"loss": 0.8628,
|
| 1171 |
+
"step": 4150
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.83,
|
| 1175 |
+
"grad_norm": 0.796875,
|
| 1176 |
+
"learning_rate": 3.4855721049018688e-06,
|
| 1177 |
+
"loss": 0.8707,
|
| 1178 |
+
"step": 4175
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.84,
|
| 1182 |
+
"grad_norm": 0.88671875,
|
| 1183 |
+
"learning_rate": 3.2822065870462217e-06,
|
| 1184 |
+
"loss": 0.8423,
|
| 1185 |
+
"step": 4200
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.84,
|
| 1189 |
+
"grad_norm": 0.7578125,
|
| 1190 |
+
"learning_rate": 3.08453618411631e-06,
|
| 1191 |
+
"loss": 0.8448,
|
| 1192 |
+
"step": 4225
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.85,
|
| 1196 |
+
"grad_norm": 0.8984375,
|
| 1197 |
+
"learning_rate": 2.892612731749414e-06,
|
| 1198 |
+
"loss": 0.8743,
|
| 1199 |
+
"step": 4250
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.85,
|
| 1203 |
+
"grad_norm": 0.8125,
|
| 1204 |
+
"learning_rate": 2.7064865585446434e-06,
|
| 1205 |
+
"loss": 0.8389,
|
| 1206 |
+
"step": 4275
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.86,
|
| 1210 |
+
"grad_norm": 0.8046875,
|
| 1211 |
+
"learning_rate": 2.52620647286512e-06,
|
| 1212 |
+
"loss": 0.8437,
|
| 1213 |
+
"step": 4300
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.86,
|
| 1217 |
+
"grad_norm": 0.92578125,
|
| 1218 |
+
"learning_rate": 2.351819750038828e-06,
|
| 1219 |
+
"loss": 0.7811,
|
| 1220 |
+
"step": 4325
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.87,
|
| 1224 |
+
"grad_norm": 0.8359375,
|
| 1225 |
+
"learning_rate": 2.183372119961499e-06,
|
| 1226 |
+
"loss": 0.8266,
|
| 1227 |
+
"step": 4350
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.88,
|
| 1231 |
+
"grad_norm": 0.9296875,
|
| 1232 |
+
"learning_rate": 2.020907755104698e-06,
|
| 1233 |
+
"loss": 0.8374,
|
| 1234 |
+
"step": 4375
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.88,
|
| 1238 |
+
"grad_norm": 0.80859375,
|
| 1239 |
+
"learning_rate": 1.864469258932397e-06,
|
| 1240 |
+
"loss": 0.9058,
|
| 1241 |
+
"step": 4400
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.89,
|
| 1245 |
+
"grad_norm": 0.78125,
|
| 1246 |
+
"learning_rate": 1.7140976547289438e-06,
|
| 1247 |
+
"loss": 0.8627,
|
| 1248 |
+
"step": 4425
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.89,
|
| 1252 |
+
"grad_norm": 0.8359375,
|
| 1253 |
+
"learning_rate": 1.5698323748414124e-06,
|
| 1254 |
+
"loss": 0.8706,
|
| 1255 |
+
"step": 4450
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.9,
|
| 1259 |
+
"grad_norm": 0.95703125,
|
| 1260 |
+
"learning_rate": 1.4317112503391432e-06,
|
| 1261 |
+
"loss": 0.8315,
|
| 1262 |
+
"step": 4475
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.9,
|
| 1266 |
+
"grad_norm": 0.80859375,
|
| 1267 |
+
"learning_rate": 1.2997705010932393e-06,
|
| 1268 |
+
"loss": 0.791,
|
| 1269 |
+
"step": 4500
|
| 1270 |
+
}
|
| 1271 |
+
],
|
| 1272 |
+
"logging_steps": 25,
|
| 1273 |
+
"max_steps": 5000,
|
| 1274 |
+
"num_input_tokens_seen": 0,
|
| 1275 |
+
"num_train_epochs": 9223372036854775807,
|
| 1276 |
+
"save_steps": 500,
|
| 1277 |
+
"total_flos": 8.79346273222656e+17,
|
| 1278 |
+
"train_batch_size": 1,
|
| 1279 |
+
"trial_name": null,
|
| 1280 |
+
"trial_params": null
|
| 1281 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3460479bf9efa1f6bc1b563fc6a790fb29cfb70a59fda8cbb0bab8e475316c7e
|
| 3 |
+
size 4856
|