Training in progress, step 375, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +36 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/merges.txt +0 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +70 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +358 -0
- last-checkpoint/trainer_state.json +2666 -0
- last-checkpoint/training_args.bin +3 -0
- last-checkpoint/vocab.json +0 -0
last-checkpoint/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: bigcode/starcoder2-3b
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.14.0
|
last-checkpoint/adapter_config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "bigcode/starcoder2-3b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": null,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 16,
|
| 16 |
+
"lora_bias": false,
|
| 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": 8,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"q_proj",
|
| 27 |
+
"v_proj",
|
| 28 |
+
"c_fc",
|
| 29 |
+
"c_proj",
|
| 30 |
+
"k_proj",
|
| 31 |
+
"o_proj"
|
| 32 |
+
],
|
| 33 |
+
"task_type": "CAUSAL_LM",
|
| 34 |
+
"use_dora": false,
|
| 35 |
+
"use_rslora": false
|
| 36 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:823c97ac8a4371fa9f02bfbdb7020411457589584c7e352b373297156f19fb26
|
| 3 |
+
size 47724600
|
last-checkpoint/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:409ae18b3ec3dee4277db2aefa0ebd50faf87fff215738c48c9324bf2fcda1d2
|
| 3 |
+
size 25331900
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:31c079f5a53b33b8611e6bc35e8a6b11ea1da8ec7f7a7b36cf42e94d17aa464f
|
| 3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4bf304e342001350c82d6970cec50fb92a4329a84dcb76ae8031bca03ca92aa9
|
| 3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|endoftext|>",
|
| 4 |
+
"<fim_prefix>",
|
| 5 |
+
"<fim_middle>",
|
| 6 |
+
"<fim_suffix>",
|
| 7 |
+
"<fim_pad>",
|
| 8 |
+
"<repo_name>",
|
| 9 |
+
"<file_sep>",
|
| 10 |
+
"<issue_start>",
|
| 11 |
+
"<issue_comment>",
|
| 12 |
+
"<issue_closed>",
|
| 13 |
+
"<jupyter_start>",
|
| 14 |
+
"<jupyter_text>",
|
| 15 |
+
"<jupyter_code>",
|
| 16 |
+
"<jupyter_output>",
|
| 17 |
+
"<jupyter_script>",
|
| 18 |
+
"<empty_output>",
|
| 19 |
+
"<code_to_intermediate>",
|
| 20 |
+
"<intermediate_to_code>",
|
| 21 |
+
"<pr>",
|
| 22 |
+
"<pr_status>",
|
| 23 |
+
"<pr_is_merged>",
|
| 24 |
+
"<pr_base>",
|
| 25 |
+
"<pr_file>",
|
| 26 |
+
"<pr_base_code>",
|
| 27 |
+
"<pr_diff>",
|
| 28 |
+
"<pr_diff_hunk>",
|
| 29 |
+
"<pr_comment>",
|
| 30 |
+
"<pr_event_id>",
|
| 31 |
+
"<pr_review>",
|
| 32 |
+
"<pr_review_state>",
|
| 33 |
+
"<pr_review_comment>",
|
| 34 |
+
"<pr_in_reply_to_review_id>",
|
| 35 |
+
"<pr_in_reply_to_comment_id>",
|
| 36 |
+
"<pr_diff_hunk_comment_line>",
|
| 37 |
+
"<NAME>",
|
| 38 |
+
"<EMAIL>",
|
| 39 |
+
"<KEY>",
|
| 40 |
+
"<PASSWORD>"
|
| 41 |
+
],
|
| 42 |
+
"bos_token": {
|
| 43 |
+
"content": "<|endoftext|>",
|
| 44 |
+
"lstrip": false,
|
| 45 |
+
"normalized": false,
|
| 46 |
+
"rstrip": false,
|
| 47 |
+
"single_word": false
|
| 48 |
+
},
|
| 49 |
+
"eos_token": {
|
| 50 |
+
"content": "<|endoftext|>",
|
| 51 |
+
"lstrip": false,
|
| 52 |
+
"normalized": false,
|
| 53 |
+
"rstrip": false,
|
| 54 |
+
"single_word": false
|
| 55 |
+
},
|
| 56 |
+
"pad_token": {
|
| 57 |
+
"content": "<|endoftext|>",
|
| 58 |
+
"lstrip": false,
|
| 59 |
+
"normalized": false,
|
| 60 |
+
"rstrip": false,
|
| 61 |
+
"single_word": false
|
| 62 |
+
},
|
| 63 |
+
"unk_token": {
|
| 64 |
+
"content": "<|endoftext|>",
|
| 65 |
+
"lstrip": false,
|
| 66 |
+
"normalized": false,
|
| 67 |
+
"rstrip": false,
|
| 68 |
+
"single_word": false
|
| 69 |
+
}
|
| 70 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,358 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<fim_prefix>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "<fim_middle>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<fim_suffix>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"4": {
|
| 37 |
+
"content": "<fim_pad>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"5": {
|
| 45 |
+
"content": "<repo_name>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"6": {
|
| 53 |
+
"content": "<file_sep>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"7": {
|
| 61 |
+
"content": "<issue_start>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"8": {
|
| 69 |
+
"content": "<issue_comment>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"9": {
|
| 77 |
+
"content": "<issue_closed>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"10": {
|
| 85 |
+
"content": "<jupyter_start>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"11": {
|
| 93 |
+
"content": "<jupyter_text>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"12": {
|
| 101 |
+
"content": "<jupyter_code>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"13": {
|
| 109 |
+
"content": "<jupyter_output>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
},
|
| 116 |
+
"14": {
|
| 117 |
+
"content": "<jupyter_script>",
|
| 118 |
+
"lstrip": false,
|
| 119 |
+
"normalized": false,
|
| 120 |
+
"rstrip": false,
|
| 121 |
+
"single_word": false,
|
| 122 |
+
"special": true
|
| 123 |
+
},
|
| 124 |
+
"15": {
|
| 125 |
+
"content": "<empty_output>",
|
| 126 |
+
"lstrip": false,
|
| 127 |
+
"normalized": false,
|
| 128 |
+
"rstrip": false,
|
| 129 |
+
"single_word": false,
|
| 130 |
+
"special": true
|
| 131 |
+
},
|
| 132 |
+
"16": {
|
| 133 |
+
"content": "<code_to_intermediate>",
|
| 134 |
+
"lstrip": false,
|
| 135 |
+
"normalized": false,
|
| 136 |
+
"rstrip": false,
|
| 137 |
+
"single_word": false,
|
| 138 |
+
"special": true
|
| 139 |
+
},
|
| 140 |
+
"17": {
|
| 141 |
+
"content": "<intermediate_to_code>",
|
| 142 |
+
"lstrip": false,
|
| 143 |
+
"normalized": false,
|
| 144 |
+
"rstrip": false,
|
| 145 |
+
"single_word": false,
|
| 146 |
+
"special": true
|
| 147 |
+
},
|
| 148 |
+
"18": {
|
| 149 |
+
"content": "<pr>",
|
| 150 |
+
"lstrip": false,
|
| 151 |
+
"normalized": false,
|
| 152 |
+
"rstrip": false,
|
| 153 |
+
"single_word": false,
|
| 154 |
+
"special": true
|
| 155 |
+
},
|
| 156 |
+
"19": {
|
| 157 |
+
"content": "<pr_status>",
|
| 158 |
+
"lstrip": false,
|
| 159 |
+
"normalized": false,
|
| 160 |
+
"rstrip": false,
|
| 161 |
+
"single_word": false,
|
| 162 |
+
"special": true
|
| 163 |
+
},
|
| 164 |
+
"20": {
|
| 165 |
+
"content": "<pr_is_merged>",
|
| 166 |
+
"lstrip": false,
|
| 167 |
+
"normalized": false,
|
| 168 |
+
"rstrip": false,
|
| 169 |
+
"single_word": false,
|
| 170 |
+
"special": true
|
| 171 |
+
},
|
| 172 |
+
"21": {
|
| 173 |
+
"content": "<pr_base>",
|
| 174 |
+
"lstrip": false,
|
| 175 |
+
"normalized": false,
|
| 176 |
+
"rstrip": false,
|
| 177 |
+
"single_word": false,
|
| 178 |
+
"special": true
|
| 179 |
+
},
|
| 180 |
+
"22": {
|
| 181 |
+
"content": "<pr_file>",
|
| 182 |
+
"lstrip": false,
|
| 183 |
+
"normalized": false,
|
| 184 |
+
"rstrip": false,
|
| 185 |
+
"single_word": false,
|
| 186 |
+
"special": true
|
| 187 |
+
},
|
| 188 |
+
"23": {
|
| 189 |
+
"content": "<pr_base_code>",
|
| 190 |
+
"lstrip": false,
|
| 191 |
+
"normalized": false,
|
| 192 |
+
"rstrip": false,
|
| 193 |
+
"single_word": false,
|
| 194 |
+
"special": true
|
| 195 |
+
},
|
| 196 |
+
"24": {
|
| 197 |
+
"content": "<pr_diff>",
|
| 198 |
+
"lstrip": false,
|
| 199 |
+
"normalized": false,
|
| 200 |
+
"rstrip": false,
|
| 201 |
+
"single_word": false,
|
| 202 |
+
"special": true
|
| 203 |
+
},
|
| 204 |
+
"25": {
|
| 205 |
+
"content": "<pr_diff_hunk>",
|
| 206 |
+
"lstrip": false,
|
| 207 |
+
"normalized": false,
|
| 208 |
+
"rstrip": false,
|
| 209 |
+
"single_word": false,
|
| 210 |
+
"special": true
|
| 211 |
+
},
|
| 212 |
+
"26": {
|
| 213 |
+
"content": "<pr_comment>",
|
| 214 |
+
"lstrip": false,
|
| 215 |
+
"normalized": false,
|
| 216 |
+
"rstrip": false,
|
| 217 |
+
"single_word": false,
|
| 218 |
+
"special": true
|
| 219 |
+
},
|
| 220 |
+
"27": {
|
| 221 |
+
"content": "<pr_event_id>",
|
| 222 |
+
"lstrip": false,
|
| 223 |
+
"normalized": false,
|
| 224 |
+
"rstrip": false,
|
| 225 |
+
"single_word": false,
|
| 226 |
+
"special": true
|
| 227 |
+
},
|
| 228 |
+
"28": {
|
| 229 |
+
"content": "<pr_review>",
|
| 230 |
+
"lstrip": false,
|
| 231 |
+
"normalized": false,
|
| 232 |
+
"rstrip": false,
|
| 233 |
+
"single_word": false,
|
| 234 |
+
"special": true
|
| 235 |
+
},
|
| 236 |
+
"29": {
|
| 237 |
+
"content": "<pr_review_state>",
|
| 238 |
+
"lstrip": false,
|
| 239 |
+
"normalized": false,
|
| 240 |
+
"rstrip": false,
|
| 241 |
+
"single_word": false,
|
| 242 |
+
"special": true
|
| 243 |
+
},
|
| 244 |
+
"30": {
|
| 245 |
+
"content": "<pr_review_comment>",
|
| 246 |
+
"lstrip": false,
|
| 247 |
+
"normalized": false,
|
| 248 |
+
"rstrip": false,
|
| 249 |
+
"single_word": false,
|
| 250 |
+
"special": true
|
| 251 |
+
},
|
| 252 |
+
"31": {
|
| 253 |
+
"content": "<pr_in_reply_to_review_id>",
|
| 254 |
+
"lstrip": false,
|
| 255 |
+
"normalized": false,
|
| 256 |
+
"rstrip": false,
|
| 257 |
+
"single_word": false,
|
| 258 |
+
"special": true
|
| 259 |
+
},
|
| 260 |
+
"32": {
|
| 261 |
+
"content": "<pr_in_reply_to_comment_id>",
|
| 262 |
+
"lstrip": false,
|
| 263 |
+
"normalized": false,
|
| 264 |
+
"rstrip": false,
|
| 265 |
+
"single_word": false,
|
| 266 |
+
"special": true
|
| 267 |
+
},
|
| 268 |
+
"33": {
|
| 269 |
+
"content": "<pr_diff_hunk_comment_line>",
|
| 270 |
+
"lstrip": false,
|
| 271 |
+
"normalized": false,
|
| 272 |
+
"rstrip": false,
|
| 273 |
+
"single_word": false,
|
| 274 |
+
"special": true
|
| 275 |
+
},
|
| 276 |
+
"34": {
|
| 277 |
+
"content": "<NAME>",
|
| 278 |
+
"lstrip": false,
|
| 279 |
+
"normalized": false,
|
| 280 |
+
"rstrip": false,
|
| 281 |
+
"single_word": false,
|
| 282 |
+
"special": true
|
| 283 |
+
},
|
| 284 |
+
"35": {
|
| 285 |
+
"content": "<EMAIL>",
|
| 286 |
+
"lstrip": false,
|
| 287 |
+
"normalized": false,
|
| 288 |
+
"rstrip": false,
|
| 289 |
+
"single_word": false,
|
| 290 |
+
"special": true
|
| 291 |
+
},
|
| 292 |
+
"36": {
|
| 293 |
+
"content": "<KEY>",
|
| 294 |
+
"lstrip": false,
|
| 295 |
+
"normalized": false,
|
| 296 |
+
"rstrip": false,
|
| 297 |
+
"single_word": false,
|
| 298 |
+
"special": true
|
| 299 |
+
},
|
| 300 |
+
"37": {
|
| 301 |
+
"content": "<PASSWORD>",
|
| 302 |
+
"lstrip": false,
|
| 303 |
+
"normalized": false,
|
| 304 |
+
"rstrip": false,
|
| 305 |
+
"single_word": false,
|
| 306 |
+
"special": true
|
| 307 |
+
}
|
| 308 |
+
},
|
| 309 |
+
"additional_special_tokens": [
|
| 310 |
+
"<|endoftext|>",
|
| 311 |
+
"<fim_prefix>",
|
| 312 |
+
"<fim_middle>",
|
| 313 |
+
"<fim_suffix>",
|
| 314 |
+
"<fim_pad>",
|
| 315 |
+
"<repo_name>",
|
| 316 |
+
"<file_sep>",
|
| 317 |
+
"<issue_start>",
|
| 318 |
+
"<issue_comment>",
|
| 319 |
+
"<issue_closed>",
|
| 320 |
+
"<jupyter_start>",
|
| 321 |
+
"<jupyter_text>",
|
| 322 |
+
"<jupyter_code>",
|
| 323 |
+
"<jupyter_output>",
|
| 324 |
+
"<jupyter_script>",
|
| 325 |
+
"<empty_output>",
|
| 326 |
+
"<code_to_intermediate>",
|
| 327 |
+
"<intermediate_to_code>",
|
| 328 |
+
"<pr>",
|
| 329 |
+
"<pr_status>",
|
| 330 |
+
"<pr_is_merged>",
|
| 331 |
+
"<pr_base>",
|
| 332 |
+
"<pr_file>",
|
| 333 |
+
"<pr_base_code>",
|
| 334 |
+
"<pr_diff>",
|
| 335 |
+
"<pr_diff_hunk>",
|
| 336 |
+
"<pr_comment>",
|
| 337 |
+
"<pr_event_id>",
|
| 338 |
+
"<pr_review>",
|
| 339 |
+
"<pr_review_state>",
|
| 340 |
+
"<pr_review_comment>",
|
| 341 |
+
"<pr_in_reply_to_review_id>",
|
| 342 |
+
"<pr_in_reply_to_comment_id>",
|
| 343 |
+
"<pr_diff_hunk_comment_line>",
|
| 344 |
+
"<NAME>",
|
| 345 |
+
"<EMAIL>",
|
| 346 |
+
"<KEY>",
|
| 347 |
+
"<PASSWORD>"
|
| 348 |
+
],
|
| 349 |
+
"bos_token": "<|endoftext|>",
|
| 350 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
| 351 |
+
"clean_up_tokenization_spaces": true,
|
| 352 |
+
"eos_token": "<|endoftext|>",
|
| 353 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 354 |
+
"pad_token": "<|endoftext|>",
|
| 355 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 356 |
+
"unk_token": "<|endoftext|>",
|
| 357 |
+
"vocab_size": 49152
|
| 358 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,2666 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.12340600575894693,
|
| 5 |
+
"eval_steps": 375,
|
| 6 |
+
"global_step": 375,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.00032908268202385847,
|
| 13 |
+
"grad_norm": 46.0558967590332,
|
| 14 |
+
"learning_rate": 2e-05,
|
| 15 |
+
"loss": 4.5639,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0006581653640477169,
|
| 20 |
+
"grad_norm": 116.75971221923828,
|
| 21 |
+
"learning_rate": 4e-05,
|
| 22 |
+
"loss": 4.7399,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0009872480460715754,
|
| 27 |
+
"grad_norm": 51.51197814941406,
|
| 28 |
+
"learning_rate": 6e-05,
|
| 29 |
+
"loss": 4.8224,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0013163307280954339,
|
| 34 |
+
"grad_norm": 78.98606872558594,
|
| 35 |
+
"learning_rate": 8e-05,
|
| 36 |
+
"loss": 5.1893,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.0016454134101192926,
|
| 41 |
+
"grad_norm": 48.04075622558594,
|
| 42 |
+
"learning_rate": 0.0001,
|
| 43 |
+
"loss": 4.4059,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.001974496092143151,
|
| 48 |
+
"grad_norm": 38.80451202392578,
|
| 49 |
+
"learning_rate": 0.00012,
|
| 50 |
+
"loss": 4.0177,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.0023035787741670093,
|
| 55 |
+
"grad_norm": 39.55317687988281,
|
| 56 |
+
"learning_rate": 0.00014,
|
| 57 |
+
"loss": 4.291,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.0026326614561908677,
|
| 62 |
+
"grad_norm": 40.044979095458984,
|
| 63 |
+
"learning_rate": 0.00016,
|
| 64 |
+
"loss": 3.793,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.0029617441382147267,
|
| 69 |
+
"grad_norm": 58.86537170410156,
|
| 70 |
+
"learning_rate": 0.00018,
|
| 71 |
+
"loss": 4.1226,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.003290826820238585,
|
| 76 |
+
"grad_norm": 24.430255889892578,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 3.6641,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.0036199095022624436,
|
| 83 |
+
"grad_norm": 54.99418640136719,
|
| 84 |
+
"learning_rate": 0.00019999977772170748,
|
| 85 |
+
"loss": 3.8054,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.003948992184286302,
|
| 90 |
+
"grad_norm": 76.18338775634766,
|
| 91 |
+
"learning_rate": 0.00019999911088781805,
|
| 92 |
+
"loss": 3.4282,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.0042780748663101605,
|
| 97 |
+
"grad_norm": 38.46460723876953,
|
| 98 |
+
"learning_rate": 0.0001999979995012962,
|
| 99 |
+
"loss": 3.3058,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.0046071575483340186,
|
| 104 |
+
"grad_norm": 44.550357818603516,
|
| 105 |
+
"learning_rate": 0.00019999644356708261,
|
| 106 |
+
"loss": 3.4775,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.0049362402303578775,
|
| 111 |
+
"grad_norm": 34.525020599365234,
|
| 112 |
+
"learning_rate": 0.00019999444309209432,
|
| 113 |
+
"loss": 3.3947,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.0052653229123817355,
|
| 118 |
+
"grad_norm": 57.00188446044922,
|
| 119 |
+
"learning_rate": 0.0001999919980852246,
|
| 120 |
+
"loss": 3.3006,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.005594405594405594,
|
| 125 |
+
"grad_norm": 117.598876953125,
|
| 126 |
+
"learning_rate": 0.00019998910855734288,
|
| 127 |
+
"loss": 3.2207,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.005923488276429453,
|
| 132 |
+
"grad_norm": 37.49771499633789,
|
| 133 |
+
"learning_rate": 0.0001999857745212947,
|
| 134 |
+
"loss": 3.1492,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.006252570958453311,
|
| 139 |
+
"grad_norm": 30.6367244720459,
|
| 140 |
+
"learning_rate": 0.00019998199599190178,
|
| 141 |
+
"loss": 3.2436,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.00658165364047717,
|
| 146 |
+
"grad_norm": 39.12260055541992,
|
| 147 |
+
"learning_rate": 0.0001999777729859618,
|
| 148 |
+
"loss": 3.2412,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.006910736322501028,
|
| 153 |
+
"grad_norm": 172.7960968017578,
|
| 154 |
+
"learning_rate": 0.00019997310552224846,
|
| 155 |
+
"loss": 3.1229,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.007239819004524887,
|
| 160 |
+
"grad_norm": 39.700347900390625,
|
| 161 |
+
"learning_rate": 0.00019996799362151122,
|
| 162 |
+
"loss": 3.1227,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.007568901686548745,
|
| 167 |
+
"grad_norm": 72.12504577636719,
|
| 168 |
+
"learning_rate": 0.00019996243730647538,
|
| 169 |
+
"loss": 3.23,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.007897984368572603,
|
| 174 |
+
"grad_norm": 35.2486457824707,
|
| 175 |
+
"learning_rate": 0.00019995643660184191,
|
| 176 |
+
"loss": 3.1196,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.008227067050596462,
|
| 181 |
+
"grad_norm": 38.94593048095703,
|
| 182 |
+
"learning_rate": 0.00019994999153428737,
|
| 183 |
+
"loss": 3.1875,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.008556149732620321,
|
| 188 |
+
"grad_norm": 32.85285568237305,
|
| 189 |
+
"learning_rate": 0.00019994310213246368,
|
| 190 |
+
"loss": 3.0243,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.00888523241464418,
|
| 195 |
+
"grad_norm": 36.16541290283203,
|
| 196 |
+
"learning_rate": 0.00019993576842699816,
|
| 197 |
+
"loss": 2.9224,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.009214315096668037,
|
| 202 |
+
"grad_norm": 37.95417785644531,
|
| 203 |
+
"learning_rate": 0.0001999279904504933,
|
| 204 |
+
"loss": 3.1117,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.009543397778691896,
|
| 209 |
+
"grad_norm": 30.928470611572266,
|
| 210 |
+
"learning_rate": 0.00019991976823752653,
|
| 211 |
+
"loss": 3.0161,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.009872480460715755,
|
| 216 |
+
"grad_norm": 30.129854202270508,
|
| 217 |
+
"learning_rate": 0.00019991110182465032,
|
| 218 |
+
"loss": 2.9128,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.010201563142739614,
|
| 223 |
+
"grad_norm": 32.489471435546875,
|
| 224 |
+
"learning_rate": 0.00019990199125039174,
|
| 225 |
+
"loss": 2.8793,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.010530645824763471,
|
| 230 |
+
"grad_norm": 40.40331268310547,
|
| 231 |
+
"learning_rate": 0.00019989243655525247,
|
| 232 |
+
"loss": 3.0345,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.01085972850678733,
|
| 237 |
+
"grad_norm": 36.23051834106445,
|
| 238 |
+
"learning_rate": 0.00019988243778170853,
|
| 239 |
+
"loss": 2.9974,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.011188811188811189,
|
| 244 |
+
"grad_norm": 46.42790603637695,
|
| 245 |
+
"learning_rate": 0.0001998719949742101,
|
| 246 |
+
"loss": 3.0721,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.011517893870835048,
|
| 251 |
+
"grad_norm": 41.625057220458984,
|
| 252 |
+
"learning_rate": 0.0001998611081791814,
|
| 253 |
+
"loss": 2.9996,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.011846976552858907,
|
| 258 |
+
"grad_norm": 45.90873718261719,
|
| 259 |
+
"learning_rate": 0.00019984977744502038,
|
| 260 |
+
"loss": 2.9567,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.012176059234882764,
|
| 265 |
+
"grad_norm": 184.02110290527344,
|
| 266 |
+
"learning_rate": 0.00019983800282209857,
|
| 267 |
+
"loss": 3.202,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.012505141916906623,
|
| 272 |
+
"grad_norm": 39.56529998779297,
|
| 273 |
+
"learning_rate": 0.00019982578436276082,
|
| 274 |
+
"loss": 3.1411,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.012834224598930482,
|
| 279 |
+
"grad_norm": 146.53335571289062,
|
| 280 |
+
"learning_rate": 0.00019981312212132512,
|
| 281 |
+
"loss": 3.1131,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.01316330728095434,
|
| 286 |
+
"grad_norm": 150.16696166992188,
|
| 287 |
+
"learning_rate": 0.00019980001615408228,
|
| 288 |
+
"loss": 3.1807,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.013492389962978198,
|
| 293 |
+
"grad_norm": 55.29084014892578,
|
| 294 |
+
"learning_rate": 0.00019978646651929572,
|
| 295 |
+
"loss": 3.0728,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.013821472645002057,
|
| 300 |
+
"grad_norm": 67.03924560546875,
|
| 301 |
+
"learning_rate": 0.00019977247327720128,
|
| 302 |
+
"loss": 3.1384,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.014150555327025915,
|
| 307 |
+
"grad_norm": 52.389244079589844,
|
| 308 |
+
"learning_rate": 0.0001997580364900068,
|
| 309 |
+
"loss": 3.0188,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.014479638009049774,
|
| 314 |
+
"grad_norm": 52.6592903137207,
|
| 315 |
+
"learning_rate": 0.000199743156221892,
|
| 316 |
+
"loss": 3.2027,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.014808720691073632,
|
| 321 |
+
"grad_norm": 60.01515197753906,
|
| 322 |
+
"learning_rate": 0.00019972783253900808,
|
| 323 |
+
"loss": 3.3363,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.01513780337309749,
|
| 328 |
+
"grad_norm": 63.57032012939453,
|
| 329 |
+
"learning_rate": 0.00019971206550947748,
|
| 330 |
+
"loss": 3.4156,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.01546688605512135,
|
| 335 |
+
"grad_norm": 95.09534454345703,
|
| 336 |
+
"learning_rate": 0.00019969585520339354,
|
| 337 |
+
"loss": 3.019,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.015795968737145206,
|
| 342 |
+
"grad_norm": 75.03887939453125,
|
| 343 |
+
"learning_rate": 0.0001996792016928203,
|
| 344 |
+
"loss": 3.6353,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.016125051419169065,
|
| 349 |
+
"grad_norm": 208.92349243164062,
|
| 350 |
+
"learning_rate": 0.00019966210505179197,
|
| 351 |
+
"loss": 3.8851,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.016454134101192924,
|
| 356 |
+
"grad_norm": 96.15306091308594,
|
| 357 |
+
"learning_rate": 0.00019964456535631286,
|
| 358 |
+
"loss": 3.951,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.016783216783216783,
|
| 363 |
+
"grad_norm": 205.12437438964844,
|
| 364 |
+
"learning_rate": 0.0001996265826843568,
|
| 365 |
+
"loss": 2.9162,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.017112299465240642,
|
| 370 |
+
"grad_norm": 65.38352966308594,
|
| 371 |
+
"learning_rate": 0.00019960815711586696,
|
| 372 |
+
"loss": 2.8065,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.0174413821472645,
|
| 377 |
+
"grad_norm": 59.9429931640625,
|
| 378 |
+
"learning_rate": 0.00019958928873275539,
|
| 379 |
+
"loss": 2.646,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.01777046482928836,
|
| 384 |
+
"grad_norm": 40.976078033447266,
|
| 385 |
+
"learning_rate": 0.00019956997761890277,
|
| 386 |
+
"loss": 2.622,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.01809954751131222,
|
| 391 |
+
"grad_norm": 47.47517776489258,
|
| 392 |
+
"learning_rate": 0.00019955022386015792,
|
| 393 |
+
"loss": 2.799,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.018428630193336074,
|
| 398 |
+
"grad_norm": 47.42388153076172,
|
| 399 |
+
"learning_rate": 0.00019953002754433743,
|
| 400 |
+
"loss": 2.6488,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.018757712875359933,
|
| 405 |
+
"grad_norm": 25.498687744140625,
|
| 406 |
+
"learning_rate": 0.00019950938876122542,
|
| 407 |
+
"loss": 2.4878,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.019086795557383792,
|
| 412 |
+
"grad_norm": 23.83648681640625,
|
| 413 |
+
"learning_rate": 0.00019948830760257291,
|
| 414 |
+
"loss": 2.6812,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.01941587823940765,
|
| 419 |
+
"grad_norm": 37.21333694458008,
|
| 420 |
+
"learning_rate": 0.0001994667841620976,
|
| 421 |
+
"loss": 2.6438,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.01974496092143151,
|
| 426 |
+
"grad_norm": 56.65325927734375,
|
| 427 |
+
"learning_rate": 0.00019944481853548335,
|
| 428 |
+
"loss": 2.7186,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.02007404360345537,
|
| 433 |
+
"grad_norm": 25.59310531616211,
|
| 434 |
+
"learning_rate": 0.00019942241082037982,
|
| 435 |
+
"loss": 2.6601,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.020403126285479228,
|
| 440 |
+
"grad_norm": 36.67039108276367,
|
| 441 |
+
"learning_rate": 0.00019939956111640197,
|
| 442 |
+
"loss": 2.4964,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.020732208967503087,
|
| 447 |
+
"grad_norm": 25.524160385131836,
|
| 448 |
+
"learning_rate": 0.00019937626952512964,
|
| 449 |
+
"loss": 2.6319,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.021061291649526942,
|
| 454 |
+
"grad_norm": 103.86463165283203,
|
| 455 |
+
"learning_rate": 0.0001993525361501072,
|
| 456 |
+
"loss": 2.6137,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.0213903743315508,
|
| 461 |
+
"grad_norm": 28.601654052734375,
|
| 462 |
+
"learning_rate": 0.00019932836109684286,
|
| 463 |
+
"loss": 2.6402,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.02171945701357466,
|
| 468 |
+
"grad_norm": 45.02948760986328,
|
| 469 |
+
"learning_rate": 0.00019930374447280845,
|
| 470 |
+
"loss": 2.5556,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.02204853969559852,
|
| 475 |
+
"grad_norm": 48.84526062011719,
|
| 476 |
+
"learning_rate": 0.00019927868638743875,
|
| 477 |
+
"loss": 2.6032,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.022377622377622378,
|
| 482 |
+
"grad_norm": 29.451082229614258,
|
| 483 |
+
"learning_rate": 0.0001992531869521312,
|
| 484 |
+
"loss": 2.6241,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.022706705059646237,
|
| 489 |
+
"grad_norm": 66.02137756347656,
|
| 490 |
+
"learning_rate": 0.00019922724628024515,
|
| 491 |
+
"loss": 2.6018,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.023035787741670095,
|
| 496 |
+
"grad_norm": 30.177003860473633,
|
| 497 |
+
"learning_rate": 0.0001992008644871016,
|
| 498 |
+
"loss": 2.6833,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.023364870423693954,
|
| 503 |
+
"grad_norm": 57.67784118652344,
|
| 504 |
+
"learning_rate": 0.00019917404168998256,
|
| 505 |
+
"loss": 2.4953,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.023693953105717813,
|
| 510 |
+
"grad_norm": 29.414043426513672,
|
| 511 |
+
"learning_rate": 0.0001991467780081305,
|
| 512 |
+
"loss": 2.4697,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.02402303578774167,
|
| 517 |
+
"grad_norm": 30.574806213378906,
|
| 518 |
+
"learning_rate": 0.00019911907356274795,
|
| 519 |
+
"loss": 2.524,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.024352118469765528,
|
| 524 |
+
"grad_norm": 44.30821228027344,
|
| 525 |
+
"learning_rate": 0.00019909092847699683,
|
| 526 |
+
"loss": 2.5585,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.024681201151789386,
|
| 531 |
+
"grad_norm": 34.140777587890625,
|
| 532 |
+
"learning_rate": 0.00019906234287599798,
|
| 533 |
+
"loss": 2.4821,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.025010283833813245,
|
| 538 |
+
"grad_norm": 39.644832611083984,
|
| 539 |
+
"learning_rate": 0.00019903331688683057,
|
| 540 |
+
"loss": 2.7098,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.025339366515837104,
|
| 545 |
+
"grad_norm": 73.76107025146484,
|
| 546 |
+
"learning_rate": 0.00019900385063853154,
|
| 547 |
+
"loss": 2.6193,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.025668449197860963,
|
| 552 |
+
"grad_norm": 34.471954345703125,
|
| 553 |
+
"learning_rate": 0.00019897394426209505,
|
| 554 |
+
"loss": 2.3583,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.025997531879884822,
|
| 559 |
+
"grad_norm": 44.11329650878906,
|
| 560 |
+
"learning_rate": 0.00019894359789047187,
|
| 561 |
+
"loss": 2.5031,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.02632661456190868,
|
| 566 |
+
"grad_norm": 38.81841278076172,
|
| 567 |
+
"learning_rate": 0.00019891281165856873,
|
| 568 |
+
"loss": 2.7198,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.026655697243932536,
|
| 573 |
+
"grad_norm": 35.21909713745117,
|
| 574 |
+
"learning_rate": 0.00019888158570324795,
|
| 575 |
+
"loss": 2.5912,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.026984779925956395,
|
| 580 |
+
"grad_norm": 47.79863357543945,
|
| 581 |
+
"learning_rate": 0.0001988499201633265,
|
| 582 |
+
"loss": 2.562,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.027313862607980254,
|
| 587 |
+
"grad_norm": 50.25193786621094,
|
| 588 |
+
"learning_rate": 0.00019881781517957562,
|
| 589 |
+
"loss": 2.7047,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.027642945290004113,
|
| 594 |
+
"grad_norm": 36.6878776550293,
|
| 595 |
+
"learning_rate": 0.0001987852708947202,
|
| 596 |
+
"loss": 2.4972,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.027972027972027972,
|
| 601 |
+
"grad_norm": 42.61648941040039,
|
| 602 |
+
"learning_rate": 0.00019875228745343794,
|
| 603 |
+
"loss": 2.5156,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.02830111065405183,
|
| 608 |
+
"grad_norm": 81.98995208740234,
|
| 609 |
+
"learning_rate": 0.0001987188650023589,
|
| 610 |
+
"loss": 2.569,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.02863019333607569,
|
| 615 |
+
"grad_norm": 46.91239929199219,
|
| 616 |
+
"learning_rate": 0.0001986850036900648,
|
| 617 |
+
"loss": 2.7152,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.02895927601809955,
|
| 622 |
+
"grad_norm": 52.46195602416992,
|
| 623 |
+
"learning_rate": 0.00019865070366708836,
|
| 624 |
+
"loss": 2.7093,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.029288358700123408,
|
| 629 |
+
"grad_norm": 41.07624435424805,
|
| 630 |
+
"learning_rate": 0.00019861596508591255,
|
| 631 |
+
"loss": 2.7295,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.029617441382147263,
|
| 636 |
+
"grad_norm": 55.525753021240234,
|
| 637 |
+
"learning_rate": 0.00019858078810097002,
|
| 638 |
+
"loss": 2.6919,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.029946524064171122,
|
| 643 |
+
"grad_norm": 50.650325775146484,
|
| 644 |
+
"learning_rate": 0.00019854517286864245,
|
| 645 |
+
"loss": 2.7554,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.03027560674619498,
|
| 650 |
+
"grad_norm": 53.117122650146484,
|
| 651 |
+
"learning_rate": 0.0001985091195472596,
|
| 652 |
+
"loss": 2.7014,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.03060468942821884,
|
| 657 |
+
"grad_norm": 50.88463592529297,
|
| 658 |
+
"learning_rate": 0.0001984726282970989,
|
| 659 |
+
"loss": 2.9423,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.0309337721102427,
|
| 664 |
+
"grad_norm": 56.69411849975586,
|
| 665 |
+
"learning_rate": 0.0001984356992803847,
|
| 666 |
+
"loss": 2.9391,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.03126285479226656,
|
| 671 |
+
"grad_norm": 49.7108268737793,
|
| 672 |
+
"learning_rate": 0.00019839833266128724,
|
| 673 |
+
"loss": 2.806,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.03159193747429041,
|
| 678 |
+
"grad_norm": 55.716922760009766,
|
| 679 |
+
"learning_rate": 0.00019836052860592237,
|
| 680 |
+
"loss": 2.7375,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.031921020156314275,
|
| 685 |
+
"grad_norm": 63.348724365234375,
|
| 686 |
+
"learning_rate": 0.0001983222872823505,
|
| 687 |
+
"loss": 2.8574,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.03225010283833813,
|
| 692 |
+
"grad_norm": 61.3756103515625,
|
| 693 |
+
"learning_rate": 0.00019828360886057594,
|
| 694 |
+
"loss": 3.3003,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.03257918552036199,
|
| 699 |
+
"grad_norm": 102.8317642211914,
|
| 700 |
+
"learning_rate": 0.00019824449351254616,
|
| 701 |
+
"loss": 2.9397,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.03290826820238585,
|
| 706 |
+
"grad_norm": 85.07316589355469,
|
| 707 |
+
"learning_rate": 0.00019820494141215104,
|
| 708 |
+
"loss": 3.2812,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.03323735088440971,
|
| 713 |
+
"grad_norm": 44.999996185302734,
|
| 714 |
+
"learning_rate": 0.000198164952735222,
|
| 715 |
+
"loss": 2.4481,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.033566433566433566,
|
| 720 |
+
"grad_norm": 35.384925842285156,
|
| 721 |
+
"learning_rate": 0.00019812452765953135,
|
| 722 |
+
"loss": 2.2091,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.03389551624845742,
|
| 727 |
+
"grad_norm": 29.201196670532227,
|
| 728 |
+
"learning_rate": 0.00019808366636479147,
|
| 729 |
+
"loss": 2.4956,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.034224598930481284,
|
| 734 |
+
"grad_norm": 18.83892822265625,
|
| 735 |
+
"learning_rate": 0.00019804236903265388,
|
| 736 |
+
"loss": 2.3206,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.03455368161250514,
|
| 741 |
+
"grad_norm": 17.895370483398438,
|
| 742 |
+
"learning_rate": 0.00019800063584670863,
|
| 743 |
+
"loss": 2.3439,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.034882764294529,
|
| 748 |
+
"grad_norm": 17.173036575317383,
|
| 749 |
+
"learning_rate": 0.00019795846699248332,
|
| 750 |
+
"loss": 2.2369,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.03521184697655286,
|
| 755 |
+
"grad_norm": 20.797094345092773,
|
| 756 |
+
"learning_rate": 0.00019791586265744237,
|
| 757 |
+
"loss": 2.2587,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.03554092965857672,
|
| 762 |
+
"grad_norm": 20.905153274536133,
|
| 763 |
+
"learning_rate": 0.00019787282303098617,
|
| 764 |
+
"loss": 2.3331,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.035870012340600575,
|
| 769 |
+
"grad_norm": 24.041580200195312,
|
| 770 |
+
"learning_rate": 0.0001978293483044502,
|
| 771 |
+
"loss": 2.3722,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.03619909502262444,
|
| 776 |
+
"grad_norm": 21.71147918701172,
|
| 777 |
+
"learning_rate": 0.00019778543867110426,
|
| 778 |
+
"loss": 2.381,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.03652817770464829,
|
| 783 |
+
"grad_norm": 19.62755012512207,
|
| 784 |
+
"learning_rate": 0.00019774109432615147,
|
| 785 |
+
"loss": 2.2829,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.03685726038667215,
|
| 790 |
+
"grad_norm": 19.470176696777344,
|
| 791 |
+
"learning_rate": 0.00019769631546672756,
|
| 792 |
+
"loss": 2.3016,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.03718634306869601,
|
| 797 |
+
"grad_norm": 25.57579803466797,
|
| 798 |
+
"learning_rate": 0.00019765110229189988,
|
| 799 |
+
"loss": 2.2059,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.037515425750719866,
|
| 804 |
+
"grad_norm": 26.536754608154297,
|
| 805 |
+
"learning_rate": 0.00019760545500266657,
|
| 806 |
+
"loss": 2.3904,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.03784450843274373,
|
| 811 |
+
"grad_norm": 21.48318099975586,
|
| 812 |
+
"learning_rate": 0.00019755937380195568,
|
| 813 |
+
"loss": 2.3908,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.038173591114767584,
|
| 818 |
+
"grad_norm": 33.38320541381836,
|
| 819 |
+
"learning_rate": 0.00019751285889462423,
|
| 820 |
+
"loss": 2.4642,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.038502673796791446,
|
| 825 |
+
"grad_norm": 24.473419189453125,
|
| 826 |
+
"learning_rate": 0.0001974659104874573,
|
| 827 |
+
"loss": 2.3328,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.0388317564788153,
|
| 832 |
+
"grad_norm": 23.20199203491211,
|
| 833 |
+
"learning_rate": 0.0001974185287891671,
|
| 834 |
+
"loss": 2.2691,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.039160839160839164,
|
| 839 |
+
"grad_norm": 27.398014068603516,
|
| 840 |
+
"learning_rate": 0.0001973707140103921,
|
| 841 |
+
"loss": 2.3794,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.03948992184286302,
|
| 846 |
+
"grad_norm": 30.54142189025879,
|
| 847 |
+
"learning_rate": 0.00019732246636369605,
|
| 848 |
+
"loss": 2.3396,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.039819004524886875,
|
| 853 |
+
"grad_norm": 28.70248031616211,
|
| 854 |
+
"learning_rate": 0.00019727378606356703,
|
| 855 |
+
"loss": 2.3872,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.04014808720691074,
|
| 860 |
+
"grad_norm": 25.75336456298828,
|
| 861 |
+
"learning_rate": 0.00019722467332641656,
|
| 862 |
+
"loss": 2.2814,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.04047716988893459,
|
| 867 |
+
"grad_norm": 29.759145736694336,
|
| 868 |
+
"learning_rate": 0.00019717512837057855,
|
| 869 |
+
"loss": 2.3478,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.040806252570958455,
|
| 874 |
+
"grad_norm": 26.37862777709961,
|
| 875 |
+
"learning_rate": 0.0001971251514163083,
|
| 876 |
+
"loss": 2.3774,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.04113533525298231,
|
| 881 |
+
"grad_norm": 28.256498336791992,
|
| 882 |
+
"learning_rate": 0.0001970747426857817,
|
| 883 |
+
"loss": 2.2388,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.04146441793500617,
|
| 888 |
+
"grad_norm": 33.0186767578125,
|
| 889 |
+
"learning_rate": 0.00019702390240309404,
|
| 890 |
+
"loss": 2.3465,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.04179350061703003,
|
| 895 |
+
"grad_norm": 34.24951934814453,
|
| 896 |
+
"learning_rate": 0.0001969726307942592,
|
| 897 |
+
"loss": 2.4891,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.042122583299053884,
|
| 902 |
+
"grad_norm": 31.087078094482422,
|
| 903 |
+
"learning_rate": 0.00019692092808720846,
|
| 904 |
+
"loss": 2.4853,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.042451665981077746,
|
| 909 |
+
"grad_norm": 35.06305694580078,
|
| 910 |
+
"learning_rate": 0.0001968687945117896,
|
| 911 |
+
"loss": 2.3925,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.0427807486631016,
|
| 916 |
+
"grad_norm": 29.33173370361328,
|
| 917 |
+
"learning_rate": 0.00019681623029976588,
|
| 918 |
+
"loss": 2.4487,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.043109831345125464,
|
| 923 |
+
"grad_norm": 31.75111198425293,
|
| 924 |
+
"learning_rate": 0.00019676323568481498,
|
| 925 |
+
"loss": 2.3077,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.04343891402714932,
|
| 930 |
+
"grad_norm": 27.908418655395508,
|
| 931 |
+
"learning_rate": 0.00019670981090252792,
|
| 932 |
+
"loss": 2.4815,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.04376799670917318,
|
| 937 |
+
"grad_norm": 32.187171936035156,
|
| 938 |
+
"learning_rate": 0.00019665595619040808,
|
| 939 |
+
"loss": 2.4108,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.04409707939119704,
|
| 944 |
+
"grad_norm": 35.1542854309082,
|
| 945 |
+
"learning_rate": 0.0001966016717878702,
|
| 946 |
+
"loss": 2.441,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.0444261620732209,
|
| 951 |
+
"grad_norm": 33.850250244140625,
|
| 952 |
+
"learning_rate": 0.00019654695793623907,
|
| 953 |
+
"loss": 2.5023,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.044755244755244755,
|
| 958 |
+
"grad_norm": 38.28538513183594,
|
| 959 |
+
"learning_rate": 0.0001964918148787488,
|
| 960 |
+
"loss": 2.6209,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.04508432743726861,
|
| 965 |
+
"grad_norm": 45.59490203857422,
|
| 966 |
+
"learning_rate": 0.00019643624286054144,
|
| 967 |
+
"loss": 2.563,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.04541341011929247,
|
| 972 |
+
"grad_norm": 41.408103942871094,
|
| 973 |
+
"learning_rate": 0.00019638024212866606,
|
| 974 |
+
"loss": 2.5537,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.04574249280131633,
|
| 979 |
+
"grad_norm": 35.567420959472656,
|
| 980 |
+
"learning_rate": 0.0001963238129320776,
|
| 981 |
+
"loss": 2.5059,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.04607157548334019,
|
| 986 |
+
"grad_norm": 51.440792083740234,
|
| 987 |
+
"learning_rate": 0.00019626695552163578,
|
| 988 |
+
"loss": 2.5288,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.046400658165364046,
|
| 993 |
+
"grad_norm": 55.620033264160156,
|
| 994 |
+
"learning_rate": 0.00019620967015010395,
|
| 995 |
+
"loss": 2.7742,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.04672974084738791,
|
| 1000 |
+
"grad_norm": 47.921180725097656,
|
| 1001 |
+
"learning_rate": 0.00019615195707214803,
|
| 1002 |
+
"loss": 2.545,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.047058823529411764,
|
| 1007 |
+
"grad_norm": 52.1619758605957,
|
| 1008 |
+
"learning_rate": 0.0001960938165443353,
|
| 1009 |
+
"loss": 2.4808,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.047387906211435626,
|
| 1014 |
+
"grad_norm": 52.686729431152344,
|
| 1015 |
+
"learning_rate": 0.00019603524882513327,
|
| 1016 |
+
"loss": 2.5127,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.04771698889345948,
|
| 1021 |
+
"grad_norm": 48.75902557373047,
|
| 1022 |
+
"learning_rate": 0.0001959762541749086,
|
| 1023 |
+
"loss": 2.5492,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.04804607157548334,
|
| 1028 |
+
"grad_norm": 57.62579345703125,
|
| 1029 |
+
"learning_rate": 0.00019591683285592593,
|
| 1030 |
+
"loss": 2.5136,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.0483751542575072,
|
| 1035 |
+
"grad_norm": 66.0849380493164,
|
| 1036 |
+
"learning_rate": 0.00019585698513234663,
|
| 1037 |
+
"loss": 2.9436,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.048704236939531055,
|
| 1042 |
+
"grad_norm": 65.15868377685547,
|
| 1043 |
+
"learning_rate": 0.0001957967112702277,
|
| 1044 |
+
"loss": 2.9614,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.04903331962155492,
|
| 1049 |
+
"grad_norm": 61.37369155883789,
|
| 1050 |
+
"learning_rate": 0.00019573601153752052,
|
| 1051 |
+
"loss": 3.0038,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.04936240230357877,
|
| 1056 |
+
"grad_norm": 132.2886505126953,
|
| 1057 |
+
"learning_rate": 0.00019567488620406983,
|
| 1058 |
+
"loss": 3.1973,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.049691484985602635,
|
| 1063 |
+
"grad_norm": 35.6921272277832,
|
| 1064 |
+
"learning_rate": 0.00019561333554161224,
|
| 1065 |
+
"loss": 2.1981,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.05002056766762649,
|
| 1070 |
+
"grad_norm": 32.4654541015625,
|
| 1071 |
+
"learning_rate": 0.0001955513598237753,
|
| 1072 |
+
"loss": 2.197,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.05034965034965035,
|
| 1077 |
+
"grad_norm": 25.712648391723633,
|
| 1078 |
+
"learning_rate": 0.00019548895932607621,
|
| 1079 |
+
"loss": 2.338,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.05067873303167421,
|
| 1084 |
+
"grad_norm": 19.411991119384766,
|
| 1085 |
+
"learning_rate": 0.00019542613432592038,
|
| 1086 |
+
"loss": 2.2655,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.051007815713698064,
|
| 1091 |
+
"grad_norm": 13.076166152954102,
|
| 1092 |
+
"learning_rate": 0.00019536288510260056,
|
| 1093 |
+
"loss": 1.9767,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.051336898395721926,
|
| 1098 |
+
"grad_norm": 15.647604942321777,
|
| 1099 |
+
"learning_rate": 0.00019529921193729534,
|
| 1100 |
+
"loss": 2.2871,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.05166598107774578,
|
| 1105 |
+
"grad_norm": 15.999380111694336,
|
| 1106 |
+
"learning_rate": 0.00019523511511306793,
|
| 1107 |
+
"loss": 2.4586,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.051995063759769644,
|
| 1112 |
+
"grad_norm": 16.724533081054688,
|
| 1113 |
+
"learning_rate": 0.000195170594914865,
|
| 1114 |
+
"loss": 2.1605,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.0523241464417935,
|
| 1119 |
+
"grad_norm": 17.9171142578125,
|
| 1120 |
+
"learning_rate": 0.00019510565162951537,
|
| 1121 |
+
"loss": 2.2012,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.05265322912381736,
|
| 1126 |
+
"grad_norm": 18.63538360595703,
|
| 1127 |
+
"learning_rate": 0.00019504028554572864,
|
| 1128 |
+
"loss": 2.2715,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.05298231180584122,
|
| 1133 |
+
"grad_norm": 17.931528091430664,
|
| 1134 |
+
"learning_rate": 0.00019497449695409408,
|
| 1135 |
+
"loss": 2.2195,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.05331139448786507,
|
| 1140 |
+
"grad_norm": 18.84501075744629,
|
| 1141 |
+
"learning_rate": 0.00019490828614707916,
|
| 1142 |
+
"loss": 2.2326,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.053640477169888935,
|
| 1147 |
+
"grad_norm": 18.82663345336914,
|
| 1148 |
+
"learning_rate": 0.00019484165341902845,
|
| 1149 |
+
"loss": 2.3262,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.05396955985191279,
|
| 1154 |
+
"grad_norm": 20.771976470947266,
|
| 1155 |
+
"learning_rate": 0.00019477459906616206,
|
| 1156 |
+
"loss": 2.3659,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.05429864253393665,
|
| 1161 |
+
"grad_norm": 19.50181007385254,
|
| 1162 |
+
"learning_rate": 0.00019470712338657458,
|
| 1163 |
+
"loss": 2.2192,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.05462772521596051,
|
| 1168 |
+
"grad_norm": 18.81004524230957,
|
| 1169 |
+
"learning_rate": 0.0001946392266802336,
|
| 1170 |
+
"loss": 2.1428,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.05495680789798437,
|
| 1175 |
+
"grad_norm": 21.053260803222656,
|
| 1176 |
+
"learning_rate": 0.0001945709092489783,
|
| 1177 |
+
"loss": 2.2203,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.055285890580008226,
|
| 1182 |
+
"grad_norm": 25.28620147705078,
|
| 1183 |
+
"learning_rate": 0.00019450217139651844,
|
| 1184 |
+
"loss": 2.1879,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.05561497326203209,
|
| 1189 |
+
"grad_norm": 22.09459686279297,
|
| 1190 |
+
"learning_rate": 0.0001944330134284326,
|
| 1191 |
+
"loss": 2.1769,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.055944055944055944,
|
| 1196 |
+
"grad_norm": 24.473697662353516,
|
| 1197 |
+
"learning_rate": 0.00019436343565216711,
|
| 1198 |
+
"loss": 2.415,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.0562731386260798,
|
| 1203 |
+
"grad_norm": 25.860061645507812,
|
| 1204 |
+
"learning_rate": 0.00019429343837703455,
|
| 1205 |
+
"loss": 2.299,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.05660222130810366,
|
| 1210 |
+
"grad_norm": 25.009765625,
|
| 1211 |
+
"learning_rate": 0.0001942230219142124,
|
| 1212 |
+
"loss": 2.1542,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.05693130399012752,
|
| 1217 |
+
"grad_norm": 28.018394470214844,
|
| 1218 |
+
"learning_rate": 0.0001941521865767417,
|
| 1219 |
+
"loss": 2.4432,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.05726038667215138,
|
| 1224 |
+
"grad_norm": 31.617511749267578,
|
| 1225 |
+
"learning_rate": 0.0001940809326795256,
|
| 1226 |
+
"loss": 2.3726,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.057589469354175235,
|
| 1231 |
+
"grad_norm": 26.330232620239258,
|
| 1232 |
+
"learning_rate": 0.000194009260539328,
|
| 1233 |
+
"loss": 2.2941,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.0579185520361991,
|
| 1238 |
+
"grad_norm": 28.39286994934082,
|
| 1239 |
+
"learning_rate": 0.0001939371704747721,
|
| 1240 |
+
"loss": 2.368,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.05824763471822295,
|
| 1245 |
+
"grad_norm": 29.393531799316406,
|
| 1246 |
+
"learning_rate": 0.00019386466280633906,
|
| 1247 |
+
"loss": 2.3252,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.058576717400246815,
|
| 1252 |
+
"grad_norm": 27.360153198242188,
|
| 1253 |
+
"learning_rate": 0.00019379173785636646,
|
| 1254 |
+
"loss": 2.1943,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.05890580008227067,
|
| 1259 |
+
"grad_norm": 29.285520553588867,
|
| 1260 |
+
"learning_rate": 0.000193718395949047,
|
| 1261 |
+
"loss": 2.4499,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.059234882764294526,
|
| 1266 |
+
"grad_norm": 29.243824005126953,
|
| 1267 |
+
"learning_rate": 0.00019364463741042694,
|
| 1268 |
+
"loss": 2.3499,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.05956396544631839,
|
| 1273 |
+
"grad_norm": 32.861839294433594,
|
| 1274 |
+
"learning_rate": 0.00019357046256840473,
|
| 1275 |
+
"loss": 2.3157,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.059893048128342244,
|
| 1280 |
+
"grad_norm": 40.80834197998047,
|
| 1281 |
+
"learning_rate": 0.00019349587175272948,
|
| 1282 |
+
"loss": 2.2473,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.060222130810366106,
|
| 1287 |
+
"grad_norm": 33.760169982910156,
|
| 1288 |
+
"learning_rate": 0.0001934208652949996,
|
| 1289 |
+
"loss": 2.4274,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.06055121349238996,
|
| 1294 |
+
"grad_norm": 34.87383270263672,
|
| 1295 |
+
"learning_rate": 0.00019334544352866127,
|
| 1296 |
+
"loss": 2.5144,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.060880296174413824,
|
| 1301 |
+
"grad_norm": 36.6989631652832,
|
| 1302 |
+
"learning_rate": 0.00019326960678900688,
|
| 1303 |
+
"loss": 2.2844,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.06120937885643768,
|
| 1308 |
+
"grad_norm": 36.20161056518555,
|
| 1309 |
+
"learning_rate": 0.00019319335541317361,
|
| 1310 |
+
"loss": 2.5463,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.06153846153846154,
|
| 1315 |
+
"grad_norm": 37.2934455871582,
|
| 1316 |
+
"learning_rate": 0.00019311668974014208,
|
| 1317 |
+
"loss": 2.3696,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.0618675442204854,
|
| 1322 |
+
"grad_norm": 39.52557373046875,
|
| 1323 |
+
"learning_rate": 0.00019303961011073447,
|
| 1324 |
+
"loss": 2.4879,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.06219662690250925,
|
| 1329 |
+
"grad_norm": 38.334991455078125,
|
| 1330 |
+
"learning_rate": 0.00019296211686761346,
|
| 1331 |
+
"loss": 2.5505,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.06252570958453312,
|
| 1336 |
+
"grad_norm": 43.470672607421875,
|
| 1337 |
+
"learning_rate": 0.00019288421035528028,
|
| 1338 |
+
"loss": 2.4267,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.06285479226655698,
|
| 1343 |
+
"grad_norm": 38.25648498535156,
|
| 1344 |
+
"learning_rate": 0.00019280589092007352,
|
| 1345 |
+
"loss": 2.4197,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.06318387494858083,
|
| 1350 |
+
"grad_norm": 45.45105743408203,
|
| 1351 |
+
"learning_rate": 0.00019272715891016735,
|
| 1352 |
+
"loss": 2.5399,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.06351295763060469,
|
| 1357 |
+
"grad_norm": 46.69264221191406,
|
| 1358 |
+
"learning_rate": 0.00019264801467557007,
|
| 1359 |
+
"loss": 2.5085,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.06384204031262855,
|
| 1364 |
+
"grad_norm": 51.463844299316406,
|
| 1365 |
+
"learning_rate": 0.00019256845856812266,
|
| 1366 |
+
"loss": 2.602,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.06417112299465241,
|
| 1371 |
+
"grad_norm": 53.442283630371094,
|
| 1372 |
+
"learning_rate": 0.000192488490941497,
|
| 1373 |
+
"loss": 2.6754,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.06450020567667626,
|
| 1378 |
+
"grad_norm": 64.25224304199219,
|
| 1379 |
+
"learning_rate": 0.00019240811215119448,
|
| 1380 |
+
"loss": 2.766,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.06482928835870012,
|
| 1385 |
+
"grad_norm": 46.239723205566406,
|
| 1386 |
+
"learning_rate": 0.00019232732255454422,
|
| 1387 |
+
"loss": 2.4271,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.06515837104072399,
|
| 1392 |
+
"grad_norm": 70.70040130615234,
|
| 1393 |
+
"learning_rate": 0.00019224612251070175,
|
| 1394 |
+
"loss": 2.6559,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.06548745372274783,
|
| 1399 |
+
"grad_norm": 69.72952270507812,
|
| 1400 |
+
"learning_rate": 0.0001921645123806472,
|
| 1401 |
+
"loss": 2.8281,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.0658165364047717,
|
| 1406 |
+
"grad_norm": 81.83056640625,
|
| 1407 |
+
"learning_rate": 0.0001920824925271838,
|
| 1408 |
+
"loss": 3.1637,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.06614561908679556,
|
| 1413 |
+
"grad_norm": 26.758020401000977,
|
| 1414 |
+
"learning_rate": 0.0001920000633149362,
|
| 1415 |
+
"loss": 2.2422,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.06647470176881942,
|
| 1420 |
+
"grad_norm": 24.241539001464844,
|
| 1421 |
+
"learning_rate": 0.00019191722511034884,
|
| 1422 |
+
"loss": 2.2236,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.06680378445084327,
|
| 1427 |
+
"grad_norm": 19.917999267578125,
|
| 1428 |
+
"learning_rate": 0.00019183397828168448,
|
| 1429 |
+
"loss": 2.2469,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.06713286713286713,
|
| 1434 |
+
"grad_norm": 14.072540283203125,
|
| 1435 |
+
"learning_rate": 0.00019175032319902234,
|
| 1436 |
+
"loss": 2.0199,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.067461949814891,
|
| 1441 |
+
"grad_norm": 15.998994827270508,
|
| 1442 |
+
"learning_rate": 0.00019166626023425662,
|
| 1443 |
+
"loss": 2.1876,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.06779103249691484,
|
| 1448 |
+
"grad_norm": 31.02007293701172,
|
| 1449 |
+
"learning_rate": 0.00019158178976109476,
|
| 1450 |
+
"loss": 2.0833,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.0681201151789387,
|
| 1455 |
+
"grad_norm": 17.03249168395996,
|
| 1456 |
+
"learning_rate": 0.0001914969121550558,
|
| 1457 |
+
"loss": 2.1668,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.06844919786096257,
|
| 1462 |
+
"grad_norm": 15.970086097717285,
|
| 1463 |
+
"learning_rate": 0.00019141162779346874,
|
| 1464 |
+
"loss": 2.0027,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.06877828054298643,
|
| 1469 |
+
"grad_norm": 17.21071434020996,
|
| 1470 |
+
"learning_rate": 0.00019132593705547082,
|
| 1471 |
+
"loss": 2.1795,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.06910736322501028,
|
| 1476 |
+
"grad_norm": 16.515851974487305,
|
| 1477 |
+
"learning_rate": 0.00019123984032200586,
|
| 1478 |
+
"loss": 2.1902,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.06943644590703414,
|
| 1483 |
+
"grad_norm": 16.371320724487305,
|
| 1484 |
+
"learning_rate": 0.00019115333797582254,
|
| 1485 |
+
"loss": 2.2563,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.069765528589058,
|
| 1490 |
+
"grad_norm": 17.641443252563477,
|
| 1491 |
+
"learning_rate": 0.00019106643040147278,
|
| 1492 |
+
"loss": 2.1812,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.07009461127108185,
|
| 1497 |
+
"grad_norm": 34.028690338134766,
|
| 1498 |
+
"learning_rate": 0.00019097911798530987,
|
| 1499 |
+
"loss": 2.0955,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.07042369395310571,
|
| 1504 |
+
"grad_norm": 18.238664627075195,
|
| 1505 |
+
"learning_rate": 0.00019089140111548696,
|
| 1506 |
+
"loss": 2.2354,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.07075277663512958,
|
| 1511 |
+
"grad_norm": 19.597766876220703,
|
| 1512 |
+
"learning_rate": 0.00019080328018195513,
|
| 1513 |
+
"loss": 2.2604,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.07108185931715344,
|
| 1518 |
+
"grad_norm": 22.564088821411133,
|
| 1519 |
+
"learning_rate": 0.0001907147555764618,
|
| 1520 |
+
"loss": 2.2941,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.07141094199917729,
|
| 1525 |
+
"grad_norm": 19.086936950683594,
|
| 1526 |
+
"learning_rate": 0.00019062582769254895,
|
| 1527 |
+
"loss": 2.162,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.07174002468120115,
|
| 1532 |
+
"grad_norm": 21.065017700195312,
|
| 1533 |
+
"learning_rate": 0.00019053649692555135,
|
| 1534 |
+
"loss": 1.9859,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.07206910736322501,
|
| 1539 |
+
"grad_norm": 22.767284393310547,
|
| 1540 |
+
"learning_rate": 0.00019044676367259476,
|
| 1541 |
+
"loss": 2.358,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.07239819004524888,
|
| 1546 |
+
"grad_norm": 22.147249221801758,
|
| 1547 |
+
"learning_rate": 0.00019035662833259432,
|
| 1548 |
+
"loss": 2.1264,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.07272727272727272,
|
| 1553 |
+
"grad_norm": 21.24959945678711,
|
| 1554 |
+
"learning_rate": 0.00019026609130625257,
|
| 1555 |
+
"loss": 2.1611,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.07305635540929659,
|
| 1560 |
+
"grad_norm": 24.62726593017578,
|
| 1561 |
+
"learning_rate": 0.00019017515299605788,
|
| 1562 |
+
"loss": 2.2199,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.07338543809132045,
|
| 1567 |
+
"grad_norm": 22.732820510864258,
|
| 1568 |
+
"learning_rate": 0.00019008381380628247,
|
| 1569 |
+
"loss": 2.2954,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.0737145207733443,
|
| 1574 |
+
"grad_norm": 22.863624572753906,
|
| 1575 |
+
"learning_rate": 0.00018999207414298067,
|
| 1576 |
+
"loss": 2.2531,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.07404360345536816,
|
| 1581 |
+
"grad_norm": 22.743608474731445,
|
| 1582 |
+
"learning_rate": 0.00018989993441398726,
|
| 1583 |
+
"loss": 2.1744,
|
| 1584 |
+
"step": 225
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.07437268613739202,
|
| 1588 |
+
"grad_norm": 25.53584861755371,
|
| 1589 |
+
"learning_rate": 0.00018980739502891546,
|
| 1590 |
+
"loss": 2.2578,
|
| 1591 |
+
"step": 226
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.07470176881941588,
|
| 1595 |
+
"grad_norm": 24.606985092163086,
|
| 1596 |
+
"learning_rate": 0.0001897144563991552,
|
| 1597 |
+
"loss": 2.3099,
|
| 1598 |
+
"step": 227
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.07503085150143973,
|
| 1602 |
+
"grad_norm": 28.77580451965332,
|
| 1603 |
+
"learning_rate": 0.00018962111893787128,
|
| 1604 |
+
"loss": 2.4734,
|
| 1605 |
+
"step": 228
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.0753599341834636,
|
| 1609 |
+
"grad_norm": 24.38824462890625,
|
| 1610 |
+
"learning_rate": 0.00018952738306000151,
|
| 1611 |
+
"loss": 2.2832,
|
| 1612 |
+
"step": 229
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.07568901686548746,
|
| 1616 |
+
"grad_norm": 26.79664421081543,
|
| 1617 |
+
"learning_rate": 0.00018943324918225494,
|
| 1618 |
+
"loss": 2.2934,
|
| 1619 |
+
"step": 230
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.0760180995475113,
|
| 1623 |
+
"grad_norm": 26.263587951660156,
|
| 1624 |
+
"learning_rate": 0.0001893387177231099,
|
| 1625 |
+
"loss": 2.3581,
|
| 1626 |
+
"step": 231
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.07634718222953517,
|
| 1630 |
+
"grad_norm": 31.044546127319336,
|
| 1631 |
+
"learning_rate": 0.0001892437891028122,
|
| 1632 |
+
"loss": 2.2172,
|
| 1633 |
+
"step": 232
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.07667626491155903,
|
| 1637 |
+
"grad_norm": 30.85577392578125,
|
| 1638 |
+
"learning_rate": 0.0001891484637433733,
|
| 1639 |
+
"loss": 2.3933,
|
| 1640 |
+
"step": 233
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.07700534759358289,
|
| 1644 |
+
"grad_norm": 30.781057357788086,
|
| 1645 |
+
"learning_rate": 0.00018905274206856837,
|
| 1646 |
+
"loss": 2.2013,
|
| 1647 |
+
"step": 234
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.07733443027560674,
|
| 1651 |
+
"grad_norm": 27.969951629638672,
|
| 1652 |
+
"learning_rate": 0.00018895662450393438,
|
| 1653 |
+
"loss": 2.3257,
|
| 1654 |
+
"step": 235
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.0776635129576306,
|
| 1658 |
+
"grad_norm": 34.26099395751953,
|
| 1659 |
+
"learning_rate": 0.00018886011147676833,
|
| 1660 |
+
"loss": 2.2869,
|
| 1661 |
+
"step": 236
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.07799259563965447,
|
| 1665 |
+
"grad_norm": 30.937467575073242,
|
| 1666 |
+
"learning_rate": 0.00018876320341612522,
|
| 1667 |
+
"loss": 2.5343,
|
| 1668 |
+
"step": 237
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.07832167832167833,
|
| 1672 |
+
"grad_norm": 35.388099670410156,
|
| 1673 |
+
"learning_rate": 0.00018866590075281624,
|
| 1674 |
+
"loss": 2.4132,
|
| 1675 |
+
"step": 238
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.07865076100370218,
|
| 1679 |
+
"grad_norm": 32.884273529052734,
|
| 1680 |
+
"learning_rate": 0.00018856820391940674,
|
| 1681 |
+
"loss": 2.366,
|
| 1682 |
+
"step": 239
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.07897984368572604,
|
| 1686 |
+
"grad_norm": 34.471805572509766,
|
| 1687 |
+
"learning_rate": 0.00018847011335021449,
|
| 1688 |
+
"loss": 2.4882,
|
| 1689 |
+
"step": 240
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.0793089263677499,
|
| 1693 |
+
"grad_norm": 38.46910095214844,
|
| 1694 |
+
"learning_rate": 0.00018837162948130752,
|
| 1695 |
+
"loss": 2.468,
|
| 1696 |
+
"step": 241
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.07963800904977375,
|
| 1700 |
+
"grad_norm": 45.747642517089844,
|
| 1701 |
+
"learning_rate": 0.00018827275275050233,
|
| 1702 |
+
"loss": 2.5533,
|
| 1703 |
+
"step": 242
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.07996709173179761,
|
| 1707 |
+
"grad_norm": 42.68091583251953,
|
| 1708 |
+
"learning_rate": 0.00018817348359736203,
|
| 1709 |
+
"loss": 2.6073,
|
| 1710 |
+
"step": 243
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.08029617441382148,
|
| 1714 |
+
"grad_norm": 42.13290786743164,
|
| 1715 |
+
"learning_rate": 0.00018807382246319412,
|
| 1716 |
+
"loss": 2.5101,
|
| 1717 |
+
"step": 244
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.08062525709584534,
|
| 1721 |
+
"grad_norm": 44.64775466918945,
|
| 1722 |
+
"learning_rate": 0.00018797376979104872,
|
| 1723 |
+
"loss": 2.4074,
|
| 1724 |
+
"step": 245
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.08095433977786919,
|
| 1728 |
+
"grad_norm": 44.45621871948242,
|
| 1729 |
+
"learning_rate": 0.00018787332602571662,
|
| 1730 |
+
"loss": 2.6026,
|
| 1731 |
+
"step": 246
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.08128342245989305,
|
| 1735 |
+
"grad_norm": 46.53767013549805,
|
| 1736 |
+
"learning_rate": 0.00018777249161372713,
|
| 1737 |
+
"loss": 2.7316,
|
| 1738 |
+
"step": 247
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.08161250514191691,
|
| 1742 |
+
"grad_norm": 66.93853759765625,
|
| 1743 |
+
"learning_rate": 0.00018767126700334634,
|
| 1744 |
+
"loss": 3.0533,
|
| 1745 |
+
"step": 248
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.08194158782394076,
|
| 1749 |
+
"grad_norm": 70.93820190429688,
|
| 1750 |
+
"learning_rate": 0.0001875696526445749,
|
| 1751 |
+
"loss": 3.0685,
|
| 1752 |
+
"step": 249
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.08227067050596462,
|
| 1756 |
+
"grad_norm": 79.4852294921875,
|
| 1757 |
+
"learning_rate": 0.0001874676489891461,
|
| 1758 |
+
"loss": 3.0647,
|
| 1759 |
+
"step": 250
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.08259975318798848,
|
| 1763 |
+
"grad_norm": 32.315250396728516,
|
| 1764 |
+
"learning_rate": 0.00018736525649052394,
|
| 1765 |
+
"loss": 2.2311,
|
| 1766 |
+
"step": 251
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.08292883587001235,
|
| 1770 |
+
"grad_norm": 30.23067855834961,
|
| 1771 |
+
"learning_rate": 0.00018726247560390099,
|
| 1772 |
+
"loss": 2.0774,
|
| 1773 |
+
"step": 252
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.0832579185520362,
|
| 1777 |
+
"grad_norm": 26.982328414916992,
|
| 1778 |
+
"learning_rate": 0.00018715930678619644,
|
| 1779 |
+
"loss": 2.122,
|
| 1780 |
+
"step": 253
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.08358700123406006,
|
| 1784 |
+
"grad_norm": 18.85164451599121,
|
| 1785 |
+
"learning_rate": 0.00018705575049605413,
|
| 1786 |
+
"loss": 2.2208,
|
| 1787 |
+
"step": 254
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.08391608391608392,
|
| 1791 |
+
"grad_norm": 13.671011924743652,
|
| 1792 |
+
"learning_rate": 0.00018695180719384029,
|
| 1793 |
+
"loss": 2.0684,
|
| 1794 |
+
"step": 255
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.08424516659810777,
|
| 1798 |
+
"grad_norm": 14.02846908569336,
|
| 1799 |
+
"learning_rate": 0.00018684747734164177,
|
| 1800 |
+
"loss": 1.9996,
|
| 1801 |
+
"step": 256
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.08457424928013163,
|
| 1805 |
+
"grad_norm": 13.098374366760254,
|
| 1806 |
+
"learning_rate": 0.00018674276140326376,
|
| 1807 |
+
"loss": 2.0488,
|
| 1808 |
+
"step": 257
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.08490333196215549,
|
| 1812 |
+
"grad_norm": 14.445398330688477,
|
| 1813 |
+
"learning_rate": 0.00018663765984422786,
|
| 1814 |
+
"loss": 2.1794,
|
| 1815 |
+
"step": 258
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.08523241464417936,
|
| 1819 |
+
"grad_norm": 14.592230796813965,
|
| 1820 |
+
"learning_rate": 0.00018653217313177004,
|
| 1821 |
+
"loss": 2.0188,
|
| 1822 |
+
"step": 259
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.0855614973262032,
|
| 1826 |
+
"grad_norm": 16.81397247314453,
|
| 1827 |
+
"learning_rate": 0.00018642630173483832,
|
| 1828 |
+
"loss": 2.1347,
|
| 1829 |
+
"step": 260
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.08589058000822707,
|
| 1833 |
+
"grad_norm": 15.40119743347168,
|
| 1834 |
+
"learning_rate": 0.00018632004612409103,
|
| 1835 |
+
"loss": 2.1071,
|
| 1836 |
+
"step": 261
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.08621966269025093,
|
| 1840 |
+
"grad_norm": 16.573291778564453,
|
| 1841 |
+
"learning_rate": 0.00018621340677189453,
|
| 1842 |
+
"loss": 2.0809,
|
| 1843 |
+
"step": 262
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.08654874537227479,
|
| 1847 |
+
"grad_norm": 16.650859832763672,
|
| 1848 |
+
"learning_rate": 0.00018610638415232097,
|
| 1849 |
+
"loss": 2.0691,
|
| 1850 |
+
"step": 263
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.08687782805429864,
|
| 1854 |
+
"grad_norm": 18.518003463745117,
|
| 1855 |
+
"learning_rate": 0.00018599897874114652,
|
| 1856 |
+
"loss": 2.1923,
|
| 1857 |
+
"step": 264
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.0872069107363225,
|
| 1861 |
+
"grad_norm": 18.871150970458984,
|
| 1862 |
+
"learning_rate": 0.00018589119101584898,
|
| 1863 |
+
"loss": 2.1555,
|
| 1864 |
+
"step": 265
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.08753599341834636,
|
| 1868 |
+
"grad_norm": 19.301851272583008,
|
| 1869 |
+
"learning_rate": 0.00018578302145560584,
|
| 1870 |
+
"loss": 2.1732,
|
| 1871 |
+
"step": 266
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 0.08786507610037021,
|
| 1875 |
+
"grad_norm": 18.156076431274414,
|
| 1876 |
+
"learning_rate": 0.00018567447054129195,
|
| 1877 |
+
"loss": 2.1245,
|
| 1878 |
+
"step": 267
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 0.08819415878239407,
|
| 1882 |
+
"grad_norm": 19.837614059448242,
|
| 1883 |
+
"learning_rate": 0.00018556553875547754,
|
| 1884 |
+
"loss": 2.2374,
|
| 1885 |
+
"step": 268
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.08852324146441794,
|
| 1889 |
+
"grad_norm": 18.92027473449707,
|
| 1890 |
+
"learning_rate": 0.00018545622658242607,
|
| 1891 |
+
"loss": 2.2301,
|
| 1892 |
+
"step": 269
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 0.0888523241464418,
|
| 1896 |
+
"grad_norm": 21.270837783813477,
|
| 1897 |
+
"learning_rate": 0.00018534653450809197,
|
| 1898 |
+
"loss": 2.2331,
|
| 1899 |
+
"step": 270
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.08918140682846565,
|
| 1903 |
+
"grad_norm": 21.555301666259766,
|
| 1904 |
+
"learning_rate": 0.00018523646302011867,
|
| 1905 |
+
"loss": 2.128,
|
| 1906 |
+
"step": 271
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.08951048951048951,
|
| 1910 |
+
"grad_norm": 23.148181915283203,
|
| 1911 |
+
"learning_rate": 0.00018512601260783606,
|
| 1912 |
+
"loss": 2.2258,
|
| 1913 |
+
"step": 272
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.08983957219251337,
|
| 1917 |
+
"grad_norm": 20.981473922729492,
|
| 1918 |
+
"learning_rate": 0.00018501518376225887,
|
| 1919 |
+
"loss": 2.2262,
|
| 1920 |
+
"step": 273
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 0.09016865487453722,
|
| 1924 |
+
"grad_norm": 23.206968307495117,
|
| 1925 |
+
"learning_rate": 0.00018490397697608395,
|
| 1926 |
+
"loss": 2.2757,
|
| 1927 |
+
"step": 274
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 0.09049773755656108,
|
| 1931 |
+
"grad_norm": 22.09346580505371,
|
| 1932 |
+
"learning_rate": 0.0001847923927436884,
|
| 1933 |
+
"loss": 2.205,
|
| 1934 |
+
"step": 275
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 0.09082682023858495,
|
| 1938 |
+
"grad_norm": 23.256229400634766,
|
| 1939 |
+
"learning_rate": 0.00018468043156112728,
|
| 1940 |
+
"loss": 2.1677,
|
| 1941 |
+
"step": 276
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.09115590292060881,
|
| 1945 |
+
"grad_norm": 23.727642059326172,
|
| 1946 |
+
"learning_rate": 0.0001845680939261314,
|
| 1947 |
+
"loss": 2.2491,
|
| 1948 |
+
"step": 277
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 0.09148498560263266,
|
| 1952 |
+
"grad_norm": 25.546274185180664,
|
| 1953 |
+
"learning_rate": 0.00018445538033810515,
|
| 1954 |
+
"loss": 2.3562,
|
| 1955 |
+
"step": 278
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 0.09181406828465652,
|
| 1959 |
+
"grad_norm": 23.656875610351562,
|
| 1960 |
+
"learning_rate": 0.00018434229129812418,
|
| 1961 |
+
"loss": 2.109,
|
| 1962 |
+
"step": 279
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.09214315096668038,
|
| 1966 |
+
"grad_norm": 28.220298767089844,
|
| 1967 |
+
"learning_rate": 0.0001842288273089332,
|
| 1968 |
+
"loss": 2.4128,
|
| 1969 |
+
"step": 280
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 0.09247223364870423,
|
| 1973 |
+
"grad_norm": 28.209348678588867,
|
| 1974 |
+
"learning_rate": 0.00018411498887494396,
|
| 1975 |
+
"loss": 2.3428,
|
| 1976 |
+
"step": 281
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 0.09280131633072809,
|
| 1980 |
+
"grad_norm": 28.554391860961914,
|
| 1981 |
+
"learning_rate": 0.00018400077650223263,
|
| 1982 |
+
"loss": 2.2634,
|
| 1983 |
+
"step": 282
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.09313039901275195,
|
| 1987 |
+
"grad_norm": 30.214752197265625,
|
| 1988 |
+
"learning_rate": 0.0001838861906985379,
|
| 1989 |
+
"loss": 2.3671,
|
| 1990 |
+
"step": 283
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 0.09345948169477582,
|
| 1994 |
+
"grad_norm": 31.313325881958008,
|
| 1995 |
+
"learning_rate": 0.00018377123197325842,
|
| 1996 |
+
"loss": 2.4922,
|
| 1997 |
+
"step": 284
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.09378856437679967,
|
| 2001 |
+
"grad_norm": 31.089052200317383,
|
| 2002 |
+
"learning_rate": 0.00018365590083745085,
|
| 2003 |
+
"loss": 2.4211,
|
| 2004 |
+
"step": 285
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.09411764705882353,
|
| 2008 |
+
"grad_norm": 32.58794403076172,
|
| 2009 |
+
"learning_rate": 0.00018354019780382735,
|
| 2010 |
+
"loss": 2.3834,
|
| 2011 |
+
"step": 286
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.09444672974084739,
|
| 2015 |
+
"grad_norm": 34.73944854736328,
|
| 2016 |
+
"learning_rate": 0.0001834241233867533,
|
| 2017 |
+
"loss": 2.2465,
|
| 2018 |
+
"step": 287
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.09477581242287125,
|
| 2022 |
+
"grad_norm": 38.76915740966797,
|
| 2023 |
+
"learning_rate": 0.00018330767810224524,
|
| 2024 |
+
"loss": 2.2918,
|
| 2025 |
+
"step": 288
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.0951048951048951,
|
| 2029 |
+
"grad_norm": 37.93132781982422,
|
| 2030 |
+
"learning_rate": 0.0001831908624679683,
|
| 2031 |
+
"loss": 2.5079,
|
| 2032 |
+
"step": 289
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.09543397778691896,
|
| 2036 |
+
"grad_norm": 37.57957458496094,
|
| 2037 |
+
"learning_rate": 0.0001830736770032341,
|
| 2038 |
+
"loss": 2.2431,
|
| 2039 |
+
"step": 290
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.09576306046894283,
|
| 2043 |
+
"grad_norm": 36.72309112548828,
|
| 2044 |
+
"learning_rate": 0.0001829561222289984,
|
| 2045 |
+
"loss": 2.5937,
|
| 2046 |
+
"step": 291
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.09609214315096667,
|
| 2050 |
+
"grad_norm": 43.910457611083984,
|
| 2051 |
+
"learning_rate": 0.00018283819866785853,
|
| 2052 |
+
"loss": 2.5796,
|
| 2053 |
+
"step": 292
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.09642122583299054,
|
| 2057 |
+
"grad_norm": 37.60491943359375,
|
| 2058 |
+
"learning_rate": 0.0001827199068440516,
|
| 2059 |
+
"loss": 2.501,
|
| 2060 |
+
"step": 293
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.0967503085150144,
|
| 2064 |
+
"grad_norm": 41.552066802978516,
|
| 2065 |
+
"learning_rate": 0.00018260124728345162,
|
| 2066 |
+
"loss": 2.5463,
|
| 2067 |
+
"step": 294
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.09707939119703826,
|
| 2071 |
+
"grad_norm": 42.12718963623047,
|
| 2072 |
+
"learning_rate": 0.00018248222051356754,
|
| 2073 |
+
"loss": 2.5723,
|
| 2074 |
+
"step": 295
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.09740847387906211,
|
| 2078 |
+
"grad_norm": 44.49871063232422,
|
| 2079 |
+
"learning_rate": 0.00018236282706354063,
|
| 2080 |
+
"loss": 2.6006,
|
| 2081 |
+
"step": 296
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.09773755656108597,
|
| 2085 |
+
"grad_norm": 46.53413391113281,
|
| 2086 |
+
"learning_rate": 0.00018224306746414238,
|
| 2087 |
+
"loss": 2.5239,
|
| 2088 |
+
"step": 297
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.09806663924310983,
|
| 2092 |
+
"grad_norm": 71.21157836914062,
|
| 2093 |
+
"learning_rate": 0.00018212294224777197,
|
| 2094 |
+
"loss": 2.8279,
|
| 2095 |
+
"step": 298
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.09839572192513368,
|
| 2099 |
+
"grad_norm": 76.81084442138672,
|
| 2100 |
+
"learning_rate": 0.00018200245194845399,
|
| 2101 |
+
"loss": 3.0209,
|
| 2102 |
+
"step": 299
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.09872480460715755,
|
| 2106 |
+
"grad_norm": 75.40888214111328,
|
| 2107 |
+
"learning_rate": 0.00018188159710183594,
|
| 2108 |
+
"loss": 2.9355,
|
| 2109 |
+
"step": 300
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.09905388728918141,
|
| 2113 |
+
"grad_norm": 25.123001098632812,
|
| 2114 |
+
"learning_rate": 0.000181760378245186,
|
| 2115 |
+
"loss": 2.1246,
|
| 2116 |
+
"step": 301
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 0.09938296997120527,
|
| 2120 |
+
"grad_norm": 24.127634048461914,
|
| 2121 |
+
"learning_rate": 0.00018163879591739067,
|
| 2122 |
+
"loss": 2.0098,
|
| 2123 |
+
"step": 302
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.09971205265322912,
|
| 2127 |
+
"grad_norm": 19.23702049255371,
|
| 2128 |
+
"learning_rate": 0.0001815168506589521,
|
| 2129 |
+
"loss": 2.0683,
|
| 2130 |
+
"step": 303
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.10004113533525298,
|
| 2134 |
+
"grad_norm": 15.723398208618164,
|
| 2135 |
+
"learning_rate": 0.000181394543011986,
|
| 2136 |
+
"loss": 2.1503,
|
| 2137 |
+
"step": 304
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.10037021801727684,
|
| 2141 |
+
"grad_norm": 13.344893455505371,
|
| 2142 |
+
"learning_rate": 0.00018127187352021907,
|
| 2143 |
+
"loss": 2.099,
|
| 2144 |
+
"step": 305
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 0.1006993006993007,
|
| 2148 |
+
"grad_norm": 12.449121475219727,
|
| 2149 |
+
"learning_rate": 0.0001811488427289866,
|
| 2150 |
+
"loss": 2.12,
|
| 2151 |
+
"step": 306
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 0.10102838338132455,
|
| 2155 |
+
"grad_norm": 10.836393356323242,
|
| 2156 |
+
"learning_rate": 0.00018102545118523007,
|
| 2157 |
+
"loss": 1.9312,
|
| 2158 |
+
"step": 307
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 0.10135746606334842,
|
| 2162 |
+
"grad_norm": 13.552892684936523,
|
| 2163 |
+
"learning_rate": 0.00018090169943749476,
|
| 2164 |
+
"loss": 2.1161,
|
| 2165 |
+
"step": 308
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 0.10168654874537228,
|
| 2169 |
+
"grad_norm": 12.804911613464355,
|
| 2170 |
+
"learning_rate": 0.00018077758803592718,
|
| 2171 |
+
"loss": 1.9294,
|
| 2172 |
+
"step": 309
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 0.10201563142739613,
|
| 2176 |
+
"grad_norm": 15.500523567199707,
|
| 2177 |
+
"learning_rate": 0.00018065311753227273,
|
| 2178 |
+
"loss": 2.1699,
|
| 2179 |
+
"step": 310
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 0.10234471410941999,
|
| 2183 |
+
"grad_norm": 13.986373901367188,
|
| 2184 |
+
"learning_rate": 0.0001805282884798732,
|
| 2185 |
+
"loss": 2.1869,
|
| 2186 |
+
"step": 311
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.10267379679144385,
|
| 2190 |
+
"grad_norm": 15.537351608276367,
|
| 2191 |
+
"learning_rate": 0.00018040310143366446,
|
| 2192 |
+
"loss": 2.0441,
|
| 2193 |
+
"step": 312
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 0.10300287947346771,
|
| 2197 |
+
"grad_norm": 14.554361343383789,
|
| 2198 |
+
"learning_rate": 0.00018027755695017368,
|
| 2199 |
+
"loss": 2.1316,
|
| 2200 |
+
"step": 313
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 0.10333196215549156,
|
| 2204 |
+
"grad_norm": 15.637019157409668,
|
| 2205 |
+
"learning_rate": 0.00018015165558751717,
|
| 2206 |
+
"loss": 2.0265,
|
| 2207 |
+
"step": 314
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 0.10366104483751543,
|
| 2211 |
+
"grad_norm": 16.677814483642578,
|
| 2212 |
+
"learning_rate": 0.00018002539790539773,
|
| 2213 |
+
"loss": 2.1547,
|
| 2214 |
+
"step": 315
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 0.10399012751953929,
|
| 2218 |
+
"grad_norm": 17.848800659179688,
|
| 2219 |
+
"learning_rate": 0.00017989878446510215,
|
| 2220 |
+
"loss": 2.0712,
|
| 2221 |
+
"step": 316
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 0.10431921020156314,
|
| 2225 |
+
"grad_norm": 21.053678512573242,
|
| 2226 |
+
"learning_rate": 0.00017977181582949888,
|
| 2227 |
+
"loss": 2.1301,
|
| 2228 |
+
"step": 317
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 0.104648292883587,
|
| 2232 |
+
"grad_norm": 18.58283042907715,
|
| 2233 |
+
"learning_rate": 0.0001796444925630353,
|
| 2234 |
+
"loss": 2.1719,
|
| 2235 |
+
"step": 318
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 0.10497737556561086,
|
| 2239 |
+
"grad_norm": 18.665454864501953,
|
| 2240 |
+
"learning_rate": 0.00017951681523173542,
|
| 2241 |
+
"loss": 2.1489,
|
| 2242 |
+
"step": 319
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 0.10530645824763472,
|
| 2246 |
+
"grad_norm": 17.518543243408203,
|
| 2247 |
+
"learning_rate": 0.0001793887844031972,
|
| 2248 |
+
"loss": 2.1305,
|
| 2249 |
+
"step": 320
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 0.10563554092965857,
|
| 2253 |
+
"grad_norm": 19.706811904907227,
|
| 2254 |
+
"learning_rate": 0.00017926040064659014,
|
| 2255 |
+
"loss": 2.1922,
|
| 2256 |
+
"step": 321
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 0.10596462361168243,
|
| 2260 |
+
"grad_norm": 19.07513427734375,
|
| 2261 |
+
"learning_rate": 0.0001791316645326526,
|
| 2262 |
+
"loss": 2.1125,
|
| 2263 |
+
"step": 322
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"epoch": 0.1062937062937063,
|
| 2267 |
+
"grad_norm": 21.25273323059082,
|
| 2268 |
+
"learning_rate": 0.00017900257663368963,
|
| 2269 |
+
"loss": 2.0967,
|
| 2270 |
+
"step": 323
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 0.10662278897573015,
|
| 2274 |
+
"grad_norm": 23.022178649902344,
|
| 2275 |
+
"learning_rate": 0.0001788731375235698,
|
| 2276 |
+
"loss": 2.1737,
|
| 2277 |
+
"step": 324
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 0.10695187165775401,
|
| 2281 |
+
"grad_norm": 24.29770851135254,
|
| 2282 |
+
"learning_rate": 0.00017874334777772327,
|
| 2283 |
+
"loss": 2.2003,
|
| 2284 |
+
"step": 325
|
| 2285 |
+
},
|
| 2286 |
+
{
|
| 2287 |
+
"epoch": 0.10728095433977787,
|
| 2288 |
+
"grad_norm": 24.43622398376465,
|
| 2289 |
+
"learning_rate": 0.00017861320797313892,
|
| 2290 |
+
"loss": 2.2152,
|
| 2291 |
+
"step": 326
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 0.10761003702180173,
|
| 2295 |
+
"grad_norm": 28.540864944458008,
|
| 2296 |
+
"learning_rate": 0.0001784827186883618,
|
| 2297 |
+
"loss": 2.1726,
|
| 2298 |
+
"step": 327
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 0.10793911970382558,
|
| 2302 |
+
"grad_norm": 22.597213745117188,
|
| 2303 |
+
"learning_rate": 0.00017835188050349064,
|
| 2304 |
+
"loss": 2.2314,
|
| 2305 |
+
"step": 328
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 0.10826820238584944,
|
| 2309 |
+
"grad_norm": 25.8801326751709,
|
| 2310 |
+
"learning_rate": 0.00017822069400017516,
|
| 2311 |
+
"loss": 2.2515,
|
| 2312 |
+
"step": 329
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 0.1085972850678733,
|
| 2316 |
+
"grad_norm": 21.48238754272461,
|
| 2317 |
+
"learning_rate": 0.00017808915976161362,
|
| 2318 |
+
"loss": 2.2769,
|
| 2319 |
+
"step": 330
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 0.10892636774989717,
|
| 2323 |
+
"grad_norm": 26.163372039794922,
|
| 2324 |
+
"learning_rate": 0.00017795727837255015,
|
| 2325 |
+
"loss": 2.1905,
|
| 2326 |
+
"step": 331
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 0.10925545043192102,
|
| 2330 |
+
"grad_norm": 26.860511779785156,
|
| 2331 |
+
"learning_rate": 0.00017782505041927216,
|
| 2332 |
+
"loss": 2.2843,
|
| 2333 |
+
"step": 332
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 0.10958453311394488,
|
| 2337 |
+
"grad_norm": 28.667987823486328,
|
| 2338 |
+
"learning_rate": 0.00017769247648960774,
|
| 2339 |
+
"loss": 2.3807,
|
| 2340 |
+
"step": 333
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 0.10991361579596874,
|
| 2344 |
+
"grad_norm": 37.908939361572266,
|
| 2345 |
+
"learning_rate": 0.00017755955717292296,
|
| 2346 |
+
"loss": 2.331,
|
| 2347 |
+
"step": 334
|
| 2348 |
+
},
|
| 2349 |
+
{
|
| 2350 |
+
"epoch": 0.11024269847799259,
|
| 2351 |
+
"grad_norm": 30.53937339782715,
|
| 2352 |
+
"learning_rate": 0.00017742629306011944,
|
| 2353 |
+
"loss": 2.4017,
|
| 2354 |
+
"step": 335
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 0.11057178116001645,
|
| 2358 |
+
"grad_norm": 31.421762466430664,
|
| 2359 |
+
"learning_rate": 0.00017729268474363154,
|
| 2360 |
+
"loss": 2.421,
|
| 2361 |
+
"step": 336
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 0.11090086384204031,
|
| 2365 |
+
"grad_norm": 28.493751525878906,
|
| 2366 |
+
"learning_rate": 0.0001771587328174239,
|
| 2367 |
+
"loss": 2.2773,
|
| 2368 |
+
"step": 337
|
| 2369 |
+
},
|
| 2370 |
+
{
|
| 2371 |
+
"epoch": 0.11122994652406418,
|
| 2372 |
+
"grad_norm": 28.117023468017578,
|
| 2373 |
+
"learning_rate": 0.0001770244378769885,
|
| 2374 |
+
"loss": 2.4702,
|
| 2375 |
+
"step": 338
|
| 2376 |
+
},
|
| 2377 |
+
{
|
| 2378 |
+
"epoch": 0.11155902920608803,
|
| 2379 |
+
"grad_norm": 36.35397720336914,
|
| 2380 |
+
"learning_rate": 0.0001768898005193425,
|
| 2381 |
+
"loss": 2.502,
|
| 2382 |
+
"step": 339
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 0.11188811188811189,
|
| 2386 |
+
"grad_norm": 31.640914916992188,
|
| 2387 |
+
"learning_rate": 0.000176754821343025,
|
| 2388 |
+
"loss": 2.4533,
|
| 2389 |
+
"step": 340
|
| 2390 |
+
},
|
| 2391 |
+
{
|
| 2392 |
+
"epoch": 0.11221719457013575,
|
| 2393 |
+
"grad_norm": 33.728538513183594,
|
| 2394 |
+
"learning_rate": 0.0001766195009480949,
|
| 2395 |
+
"loss": 2.4158,
|
| 2396 |
+
"step": 341
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 0.1125462772521596,
|
| 2400 |
+
"grad_norm": 30.469196319580078,
|
| 2401 |
+
"learning_rate": 0.0001764838399361279,
|
| 2402 |
+
"loss": 2.4001,
|
| 2403 |
+
"step": 342
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 0.11287535993418346,
|
| 2407 |
+
"grad_norm": 39.749664306640625,
|
| 2408 |
+
"learning_rate": 0.00017634783891021393,
|
| 2409 |
+
"loss": 2.3815,
|
| 2410 |
+
"step": 343
|
| 2411 |
+
},
|
| 2412 |
+
{
|
| 2413 |
+
"epoch": 0.11320444261620732,
|
| 2414 |
+
"grad_norm": 41.524436950683594,
|
| 2415 |
+
"learning_rate": 0.00017621149847495458,
|
| 2416 |
+
"loss": 2.4092,
|
| 2417 |
+
"step": 344
|
| 2418 |
+
},
|
| 2419 |
+
{
|
| 2420 |
+
"epoch": 0.11353352529823119,
|
| 2421 |
+
"grad_norm": 55.04652404785156,
|
| 2422 |
+
"learning_rate": 0.00017607481923646016,
|
| 2423 |
+
"loss": 2.6198,
|
| 2424 |
+
"step": 345
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 0.11386260798025503,
|
| 2428 |
+
"grad_norm": 41.766761779785156,
|
| 2429 |
+
"learning_rate": 0.0001759378018023473,
|
| 2430 |
+
"loss": 2.4331,
|
| 2431 |
+
"step": 346
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 0.1141916906622789,
|
| 2435 |
+
"grad_norm": 73.7178955078125,
|
| 2436 |
+
"learning_rate": 0.00017580044678173592,
|
| 2437 |
+
"loss": 2.6612,
|
| 2438 |
+
"step": 347
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 0.11452077334430276,
|
| 2442 |
+
"grad_norm": 58.45720672607422,
|
| 2443 |
+
"learning_rate": 0.00017566275478524693,
|
| 2444 |
+
"loss": 2.7114,
|
| 2445 |
+
"step": 348
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 0.11484985602632661,
|
| 2449 |
+
"grad_norm": 62.9808349609375,
|
| 2450 |
+
"learning_rate": 0.0001755247264249991,
|
| 2451 |
+
"loss": 2.6575,
|
| 2452 |
+
"step": 349
|
| 2453 |
+
},
|
| 2454 |
+
{
|
| 2455 |
+
"epoch": 0.11517893870835047,
|
| 2456 |
+
"grad_norm": 65.06092071533203,
|
| 2457 |
+
"learning_rate": 0.0001753863623146066,
|
| 2458 |
+
"loss": 3.1385,
|
| 2459 |
+
"step": 350
|
| 2460 |
+
},
|
| 2461 |
+
{
|
| 2462 |
+
"epoch": 0.11550802139037433,
|
| 2463 |
+
"grad_norm": 21.07193946838379,
|
| 2464 |
+
"learning_rate": 0.00017524766306917618,
|
| 2465 |
+
"loss": 2.1127,
|
| 2466 |
+
"step": 351
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 0.1158371040723982,
|
| 2470 |
+
"grad_norm": 22.23618507385254,
|
| 2471 |
+
"learning_rate": 0.0001751086293053045,
|
| 2472 |
+
"loss": 2.1514,
|
| 2473 |
+
"step": 352
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 0.11616618675442204,
|
| 2477 |
+
"grad_norm": 20.072818756103516,
|
| 2478 |
+
"learning_rate": 0.0001749692616410753,
|
| 2479 |
+
"loss": 2.0668,
|
| 2480 |
+
"step": 353
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 0.1164952694364459,
|
| 2484 |
+
"grad_norm": 16.212791442871094,
|
| 2485 |
+
"learning_rate": 0.00017482956069605668,
|
| 2486 |
+
"loss": 2.0342,
|
| 2487 |
+
"step": 354
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 0.11682435211846977,
|
| 2491 |
+
"grad_norm": 12.142776489257812,
|
| 2492 |
+
"learning_rate": 0.00017468952709129846,
|
| 2493 |
+
"loss": 1.9391,
|
| 2494 |
+
"step": 355
|
| 2495 |
+
},
|
| 2496 |
+
{
|
| 2497 |
+
"epoch": 0.11715343480049363,
|
| 2498 |
+
"grad_norm": 13.167658805847168,
|
| 2499 |
+
"learning_rate": 0.00017454916144932922,
|
| 2500 |
+
"loss": 2.1191,
|
| 2501 |
+
"step": 356
|
| 2502 |
+
},
|
| 2503 |
+
{
|
| 2504 |
+
"epoch": 0.11748251748251748,
|
| 2505 |
+
"grad_norm": 12.89388656616211,
|
| 2506 |
+
"learning_rate": 0.0001744084643941536,
|
| 2507 |
+
"loss": 1.9692,
|
| 2508 |
+
"step": 357
|
| 2509 |
+
},
|
| 2510 |
+
{
|
| 2511 |
+
"epoch": 0.11781160016454134,
|
| 2512 |
+
"grad_norm": 12.43535327911377,
|
| 2513 |
+
"learning_rate": 0.00017426743655124974,
|
| 2514 |
+
"loss": 2.1307,
|
| 2515 |
+
"step": 358
|
| 2516 |
+
},
|
| 2517 |
+
{
|
| 2518 |
+
"epoch": 0.1181406828465652,
|
| 2519 |
+
"grad_norm": 13.791735649108887,
|
| 2520 |
+
"learning_rate": 0.0001741260785475661,
|
| 2521 |
+
"loss": 2.1729,
|
| 2522 |
+
"step": 359
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 0.11846976552858905,
|
| 2526 |
+
"grad_norm": 13.562893867492676,
|
| 2527 |
+
"learning_rate": 0.00017398439101151905,
|
| 2528 |
+
"loss": 2.0874,
|
| 2529 |
+
"step": 360
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 0.11879884821061291,
|
| 2533 |
+
"grad_norm": 14.418350219726562,
|
| 2534 |
+
"learning_rate": 0.00017384237457298987,
|
| 2535 |
+
"loss": 2.1214,
|
| 2536 |
+
"step": 361
|
| 2537 |
+
},
|
| 2538 |
+
{
|
| 2539 |
+
"epoch": 0.11912793089263678,
|
| 2540 |
+
"grad_norm": 14.90912914276123,
|
| 2541 |
+
"learning_rate": 0.00017370002986332193,
|
| 2542 |
+
"loss": 2.15,
|
| 2543 |
+
"step": 362
|
| 2544 |
+
},
|
| 2545 |
+
{
|
| 2546 |
+
"epoch": 0.11945701357466064,
|
| 2547 |
+
"grad_norm": 14.4798583984375,
|
| 2548 |
+
"learning_rate": 0.00017355735751531807,
|
| 2549 |
+
"loss": 2.104,
|
| 2550 |
+
"step": 363
|
| 2551 |
+
},
|
| 2552 |
+
{
|
| 2553 |
+
"epoch": 0.11978609625668449,
|
| 2554 |
+
"grad_norm": 14.9854154586792,
|
| 2555 |
+
"learning_rate": 0.00017341435816323756,
|
| 2556 |
+
"loss": 2.1634,
|
| 2557 |
+
"step": 364
|
| 2558 |
+
},
|
| 2559 |
+
{
|
| 2560 |
+
"epoch": 0.12011517893870835,
|
| 2561 |
+
"grad_norm": 15.484580039978027,
|
| 2562 |
+
"learning_rate": 0.00017327103244279348,
|
| 2563 |
+
"loss": 2.1227,
|
| 2564 |
+
"step": 365
|
| 2565 |
+
},
|
| 2566 |
+
{
|
| 2567 |
+
"epoch": 0.12044426162073221,
|
| 2568 |
+
"grad_norm": 16.974597930908203,
|
| 2569 |
+
"learning_rate": 0.00017312738099114973,
|
| 2570 |
+
"loss": 2.1332,
|
| 2571 |
+
"step": 366
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 0.12077334430275606,
|
| 2575 |
+
"grad_norm": 17.421018600463867,
|
| 2576 |
+
"learning_rate": 0.00017298340444691835,
|
| 2577 |
+
"loss": 2.1759,
|
| 2578 |
+
"step": 367
|
| 2579 |
+
},
|
| 2580 |
+
{
|
| 2581 |
+
"epoch": 0.12110242698477992,
|
| 2582 |
+
"grad_norm": 16.27506446838379,
|
| 2583 |
+
"learning_rate": 0.00017283910345015647,
|
| 2584 |
+
"loss": 2.1096,
|
| 2585 |
+
"step": 368
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 0.12143150966680379,
|
| 2589 |
+
"grad_norm": 17.663877487182617,
|
| 2590 |
+
"learning_rate": 0.0001726944786423637,
|
| 2591 |
+
"loss": 2.0878,
|
| 2592 |
+
"step": 369
|
| 2593 |
+
},
|
| 2594 |
+
{
|
| 2595 |
+
"epoch": 0.12176059234882765,
|
| 2596 |
+
"grad_norm": 18.855493545532227,
|
| 2597 |
+
"learning_rate": 0.00017254953066647913,
|
| 2598 |
+
"loss": 2.1556,
|
| 2599 |
+
"step": 370
|
| 2600 |
+
},
|
| 2601 |
+
{
|
| 2602 |
+
"epoch": 0.1220896750308515,
|
| 2603 |
+
"grad_norm": 20.37822151184082,
|
| 2604 |
+
"learning_rate": 0.00017240426016687863,
|
| 2605 |
+
"loss": 2.1551,
|
| 2606 |
+
"step": 371
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 0.12241875771287536,
|
| 2610 |
+
"grad_norm": 18.425636291503906,
|
| 2611 |
+
"learning_rate": 0.00017225866778937165,
|
| 2612 |
+
"loss": 2.1598,
|
| 2613 |
+
"step": 372
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 0.12274784039489922,
|
| 2617 |
+
"grad_norm": 18.747047424316406,
|
| 2618 |
+
"learning_rate": 0.00017211275418119876,
|
| 2619 |
+
"loss": 2.0371,
|
| 2620 |
+
"step": 373
|
| 2621 |
+
},
|
| 2622 |
+
{
|
| 2623 |
+
"epoch": 0.12307692307692308,
|
| 2624 |
+
"grad_norm": 20.014904022216797,
|
| 2625 |
+
"learning_rate": 0.0001719665199910285,
|
| 2626 |
+
"loss": 2.2492,
|
| 2627 |
+
"step": 374
|
| 2628 |
+
},
|
| 2629 |
+
{
|
| 2630 |
+
"epoch": 0.12340600575894693,
|
| 2631 |
+
"grad_norm": 21.430776596069336,
|
| 2632 |
+
"learning_rate": 0.00017181996586895454,
|
| 2633 |
+
"loss": 2.2077,
|
| 2634 |
+
"step": 375
|
| 2635 |
+
},
|
| 2636 |
+
{
|
| 2637 |
+
"epoch": 0.12340600575894693,
|
| 2638 |
+
"eval_loss": 1.9685778617858887,
|
| 2639 |
+
"eval_runtime": 163.1829,
|
| 2640 |
+
"eval_samples_per_second": 31.364,
|
| 2641 |
+
"eval_steps_per_second": 15.682,
|
| 2642 |
+
"step": 375
|
| 2643 |
+
}
|
| 2644 |
+
],
|
| 2645 |
+
"logging_steps": 1,
|
| 2646 |
+
"max_steps": 1500,
|
| 2647 |
+
"num_input_tokens_seen": 0,
|
| 2648 |
+
"num_train_epochs": 1,
|
| 2649 |
+
"save_steps": 375,
|
| 2650 |
+
"stateful_callbacks": {
|
| 2651 |
+
"TrainerControl": {
|
| 2652 |
+
"args": {
|
| 2653 |
+
"should_epoch_stop": false,
|
| 2654 |
+
"should_evaluate": false,
|
| 2655 |
+
"should_log": false,
|
| 2656 |
+
"should_save": true,
|
| 2657 |
+
"should_training_stop": false
|
| 2658 |
+
},
|
| 2659 |
+
"attributes": {}
|
| 2660 |
+
}
|
| 2661 |
+
},
|
| 2662 |
+
"total_flos": 2.1601171198181376e+17,
|
| 2663 |
+
"train_batch_size": 2,
|
| 2664 |
+
"trial_name": null,
|
| 2665 |
+
"trial_params": null
|
| 2666 |
+
}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2fbd6bcaa7be704720eab9e48fc7b9b19e0f1a5717bbcf45ac40b30debbe1620
|
| 3 |
+
size 6840
|
last-checkpoint/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|