Training in progress, step 301, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -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 +40 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +89 -0
- last-checkpoint/trainer_state.json +2140 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/codellama-7b
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/codellama-7b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"gate_proj",
|
| 24 |
+
"v_proj",
|
| 25 |
+
"o_proj",
|
| 26 |
+
"down_proj",
|
| 27 |
+
"q_proj",
|
| 28 |
+
"up_proj",
|
| 29 |
+
"k_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:53aa1f81954085ee54ed249a101d58719cbbe4434da65f5479b0c4573f08a4a8
|
| 3 |
+
size 80013120
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2503b123b77ddddc7d4442fc5529e2136ae1a2e1f4eb2a242d06725160e795c
|
| 3 |
+
size 41120084
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:99c2908d6784190f5a199ec0a35ef5871f8ec8214d4b3723fd8a8cf4a38f15cf
|
| 3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b9e79e1ceb6e2a9bc59c7cf76f9ba6717e2a28ad1f0cd7fa11976db6bbc444bf
|
| 3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"▁<PRE>",
|
| 4 |
+
"▁<MID>",
|
| 5 |
+
"▁<SUF>",
|
| 6 |
+
"▁<EOT>",
|
| 7 |
+
"▁<PRE>",
|
| 8 |
+
"▁<MID>",
|
| 9 |
+
"▁<SUF>",
|
| 10 |
+
"▁<EOT>"
|
| 11 |
+
],
|
| 12 |
+
"bos_token": {
|
| 13 |
+
"content": "<s>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false
|
| 18 |
+
},
|
| 19 |
+
"eos_token": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"pad_token": {
|
| 27 |
+
"content": "<unk>",
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"normalized": false,
|
| 30 |
+
"rstrip": false,
|
| 31 |
+
"single_word": false
|
| 32 |
+
},
|
| 33 |
+
"unk_token": {
|
| 34 |
+
"content": "<unk>",
|
| 35 |
+
"lstrip": false,
|
| 36 |
+
"normalized": false,
|
| 37 |
+
"rstrip": false,
|
| 38 |
+
"single_word": false
|
| 39 |
+
}
|
| 40 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
last-checkpoint/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
|
| 3 |
+
size 500058
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"32007": {
|
| 30 |
+
"content": "▁<PRE>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32008": {
|
| 38 |
+
"content": "▁<SUF>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"32009": {
|
| 46 |
+
"content": "▁<MID>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"32010": {
|
| 54 |
+
"content": "▁<EOT>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"additional_special_tokens": [
|
| 63 |
+
"▁<PRE>",
|
| 64 |
+
"▁<MID>",
|
| 65 |
+
"▁<SUF>",
|
| 66 |
+
"▁<EOT>",
|
| 67 |
+
"▁<PRE>",
|
| 68 |
+
"▁<MID>",
|
| 69 |
+
"▁<SUF>",
|
| 70 |
+
"▁<EOT>"
|
| 71 |
+
],
|
| 72 |
+
"bos_token": "<s>",
|
| 73 |
+
"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 %}",
|
| 74 |
+
"clean_up_tokenization_spaces": false,
|
| 75 |
+
"eos_token": "</s>",
|
| 76 |
+
"eot_token": "▁<EOT>",
|
| 77 |
+
"fill_token": "<FILL_ME>",
|
| 78 |
+
"legacy": null,
|
| 79 |
+
"middle_token": "▁<MID>",
|
| 80 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 81 |
+
"pad_token": "<unk>",
|
| 82 |
+
"padding_side": "left",
|
| 83 |
+
"prefix_token": "▁<PRE>",
|
| 84 |
+
"sp_model_kwargs": {},
|
| 85 |
+
"suffix_token": "▁<SUF>",
|
| 86 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
| 87 |
+
"unk_token": "<unk>",
|
| 88 |
+
"use_default_system_prompt": false
|
| 89 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,2140 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.25,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 301,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0008305647840531562,
|
| 13 |
+
"grad_norm": 0.2117196023464203,
|
| 14 |
+
"learning_rate": 2e-05,
|
| 15 |
+
"loss": 1.6229,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0016611295681063123,
|
| 20 |
+
"grad_norm": 0.22263389825820923,
|
| 21 |
+
"learning_rate": 4e-05,
|
| 22 |
+
"loss": 1.6193,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0024916943521594683,
|
| 27 |
+
"grad_norm": 0.2136000245809555,
|
| 28 |
+
"learning_rate": 6e-05,
|
| 29 |
+
"loss": 1.6194,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0033222591362126247,
|
| 34 |
+
"grad_norm": 0.1670055240392685,
|
| 35 |
+
"learning_rate": 8e-05,
|
| 36 |
+
"loss": 1.5013,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.004152823920265781,
|
| 41 |
+
"grad_norm": 0.21128971874713898,
|
| 42 |
+
"learning_rate": 0.0001,
|
| 43 |
+
"loss": 1.5584,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.0049833887043189366,
|
| 48 |
+
"grad_norm": 0.2818673849105835,
|
| 49 |
+
"learning_rate": 9.999982836686337e-05,
|
| 50 |
+
"loss": 1.6258,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.005813953488372093,
|
| 55 |
+
"grad_norm": 0.27105721831321716,
|
| 56 |
+
"learning_rate": 9.999931346863176e-05,
|
| 57 |
+
"loss": 1.4343,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.006644518272425249,
|
| 62 |
+
"grad_norm": 0.391613245010376,
|
| 63 |
+
"learning_rate": 9.999845530884015e-05,
|
| 64 |
+
"loss": 1.7102,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.007475083056478406,
|
| 69 |
+
"grad_norm": 0.3867242634296417,
|
| 70 |
+
"learning_rate": 9.999725389338007e-05,
|
| 71 |
+
"loss": 1.7026,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.008305647840531562,
|
| 76 |
+
"grad_norm": 0.3804970681667328,
|
| 77 |
+
"learning_rate": 9.999570923049964e-05,
|
| 78 |
+
"loss": 1.526,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.009136212624584718,
|
| 83 |
+
"grad_norm": 0.3691057860851288,
|
| 84 |
+
"learning_rate": 9.999382133080343e-05,
|
| 85 |
+
"loss": 1.5303,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.009966777408637873,
|
| 90 |
+
"grad_norm": 0.36438891291618347,
|
| 91 |
+
"learning_rate": 9.999159020725254e-05,
|
| 92 |
+
"loss": 1.4692,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.01079734219269103,
|
| 97 |
+
"grad_norm": 0.34645453095436096,
|
| 98 |
+
"learning_rate": 9.998901587516434e-05,
|
| 99 |
+
"loss": 1.3396,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.011627906976744186,
|
| 104 |
+
"grad_norm": 0.3624647259712219,
|
| 105 |
+
"learning_rate": 9.998609835221244e-05,
|
| 106 |
+
"loss": 1.204,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.012458471760797342,
|
| 111 |
+
"grad_norm": 0.32159945368766785,
|
| 112 |
+
"learning_rate": 9.998283765842661e-05,
|
| 113 |
+
"loss": 1.4673,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.013289036544850499,
|
| 118 |
+
"grad_norm": 0.3673219680786133,
|
| 119 |
+
"learning_rate": 9.997923381619256e-05,
|
| 120 |
+
"loss": 1.3492,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.014119601328903655,
|
| 125 |
+
"grad_norm": 0.39334583282470703,
|
| 126 |
+
"learning_rate": 9.997528685025185e-05,
|
| 127 |
+
"loss": 1.5226,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.014950166112956811,
|
| 132 |
+
"grad_norm": 0.3874243199825287,
|
| 133 |
+
"learning_rate": 9.997099678770168e-05,
|
| 134 |
+
"loss": 1.4233,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.015780730897009966,
|
| 139 |
+
"grad_norm": 0.4022265374660492,
|
| 140 |
+
"learning_rate": 9.99663636579947e-05,
|
| 141 |
+
"loss": 1.3485,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.016611295681063124,
|
| 146 |
+
"grad_norm": 0.466097891330719,
|
| 147 |
+
"learning_rate": 9.996138749293891e-05,
|
| 148 |
+
"loss": 1.4112,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.01744186046511628,
|
| 153 |
+
"grad_norm": 0.4313271939754486,
|
| 154 |
+
"learning_rate": 9.995606832669726e-05,
|
| 155 |
+
"loss": 1.3705,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.018272425249169437,
|
| 160 |
+
"grad_norm": 0.45213770866394043,
|
| 161 |
+
"learning_rate": 9.995040619578757e-05,
|
| 162 |
+
"loss": 1.3108,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.01910299003322259,
|
| 167 |
+
"grad_norm": 1.3649903535842896,
|
| 168 |
+
"learning_rate": 9.994440113908221e-05,
|
| 169 |
+
"loss": 1.3395,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.019933554817275746,
|
| 174 |
+
"grad_norm": 0.45877453684806824,
|
| 175 |
+
"learning_rate": 9.993805319780784e-05,
|
| 176 |
+
"loss": 1.3802,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.020764119601328904,
|
| 181 |
+
"grad_norm": 0.4663592576980591,
|
| 182 |
+
"learning_rate": 9.993136241554515e-05,
|
| 183 |
+
"loss": 1.2858,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.02159468438538206,
|
| 188 |
+
"grad_norm": 0.5290528535842896,
|
| 189 |
+
"learning_rate": 9.992432883822855e-05,
|
| 190 |
+
"loss": 1.5919,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.022425249169435217,
|
| 195 |
+
"grad_norm": 0.4811062514781952,
|
| 196 |
+
"learning_rate": 9.991695251414583e-05,
|
| 197 |
+
"loss": 1.4016,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.023255813953488372,
|
| 202 |
+
"grad_norm": 0.5235459804534912,
|
| 203 |
+
"learning_rate": 9.990923349393786e-05,
|
| 204 |
+
"loss": 1.4679,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.02408637873754153,
|
| 209 |
+
"grad_norm": 0.4810985326766968,
|
| 210 |
+
"learning_rate": 9.990117183059819e-05,
|
| 211 |
+
"loss": 1.2888,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.024916943521594685,
|
| 216 |
+
"grad_norm": 0.5298346877098083,
|
| 217 |
+
"learning_rate": 9.989276757947281e-05,
|
| 218 |
+
"loss": 1.3626,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.02574750830564784,
|
| 223 |
+
"grad_norm": 0.5100981593132019,
|
| 224 |
+
"learning_rate": 9.988402079825962e-05,
|
| 225 |
+
"loss": 1.2308,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.026578073089700997,
|
| 230 |
+
"grad_norm": 0.5727996230125427,
|
| 231 |
+
"learning_rate": 9.987493154700812e-05,
|
| 232 |
+
"loss": 1.287,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.027408637873754152,
|
| 237 |
+
"grad_norm": 0.5358831882476807,
|
| 238 |
+
"learning_rate": 9.986549988811897e-05,
|
| 239 |
+
"loss": 1.3299,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.02823920265780731,
|
| 244 |
+
"grad_norm": 0.6017313003540039,
|
| 245 |
+
"learning_rate": 9.98557258863436e-05,
|
| 246 |
+
"loss": 1.3583,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.029069767441860465,
|
| 251 |
+
"grad_norm": 0.5905628800392151,
|
| 252 |
+
"learning_rate": 9.984560960878369e-05,
|
| 253 |
+
"loss": 1.3814,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.029900332225913623,
|
| 258 |
+
"grad_norm": 0.6339725255966187,
|
| 259 |
+
"learning_rate": 9.98351511248908e-05,
|
| 260 |
+
"loss": 1.3815,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.030730897009966777,
|
| 265 |
+
"grad_norm": 0.6721277236938477,
|
| 266 |
+
"learning_rate": 9.98243505064658e-05,
|
| 267 |
+
"loss": 1.4925,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.03156146179401993,
|
| 272 |
+
"grad_norm": 0.6016228795051575,
|
| 273 |
+
"learning_rate": 9.981320782765846e-05,
|
| 274 |
+
"loss": 1.2665,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.03239202657807309,
|
| 279 |
+
"grad_norm": 0.5978913307189941,
|
| 280 |
+
"learning_rate": 9.98017231649669e-05,
|
| 281 |
+
"loss": 1.1268,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.03322259136212625,
|
| 286 |
+
"grad_norm": 0.7696051597595215,
|
| 287 |
+
"learning_rate": 9.978989659723709e-05,
|
| 288 |
+
"loss": 1.5571,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.0340531561461794,
|
| 293 |
+
"grad_norm": 1.1089845895767212,
|
| 294 |
+
"learning_rate": 9.977772820566222e-05,
|
| 295 |
+
"loss": 1.8723,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.03488372093023256,
|
| 300 |
+
"grad_norm": 0.8813836574554443,
|
| 301 |
+
"learning_rate": 9.976521807378229e-05,
|
| 302 |
+
"loss": 1.3501,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.03571428571428571,
|
| 307 |
+
"grad_norm": 1.1799523830413818,
|
| 308 |
+
"learning_rate": 9.975236628748343e-05,
|
| 309 |
+
"loss": 1.6155,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.036544850498338874,
|
| 314 |
+
"grad_norm": 3.413243293762207,
|
| 315 |
+
"learning_rate": 9.973917293499732e-05,
|
| 316 |
+
"loss": 2.027,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.03737541528239203,
|
| 321 |
+
"grad_norm": 1.4013257026672363,
|
| 322 |
+
"learning_rate": 9.972563810690062e-05,
|
| 323 |
+
"loss": 1.1709,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.03820598006644518,
|
| 328 |
+
"grad_norm": 1.8023418188095093,
|
| 329 |
+
"learning_rate": 9.971176189611434e-05,
|
| 330 |
+
"loss": 1.8565,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.03903654485049834,
|
| 335 |
+
"grad_norm": 1.6363664865493774,
|
| 336 |
+
"learning_rate": 9.969754439790317e-05,
|
| 337 |
+
"loss": 1.5719,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.03986710963455149,
|
| 342 |
+
"grad_norm": 1.4404523372650146,
|
| 343 |
+
"learning_rate": 9.968298570987489e-05,
|
| 344 |
+
"loss": 2.0997,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.040697674418604654,
|
| 349 |
+
"grad_norm": 1.0700703859329224,
|
| 350 |
+
"learning_rate": 9.966808593197959e-05,
|
| 351 |
+
"loss": 1.8537,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.04152823920265781,
|
| 356 |
+
"grad_norm": 0.8873586654663086,
|
| 357 |
+
"learning_rate": 9.965284516650913e-05,
|
| 358 |
+
"loss": 2.1512,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.04235880398671096,
|
| 363 |
+
"grad_norm": 0.4831582307815552,
|
| 364 |
+
"learning_rate": 9.96372635180963e-05,
|
| 365 |
+
"loss": 1.1619,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.04318936877076412,
|
| 370 |
+
"grad_norm": 0.5050444602966309,
|
| 371 |
+
"learning_rate": 9.96213410937142e-05,
|
| 372 |
+
"loss": 1.4075,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.04401993355481727,
|
| 377 |
+
"grad_norm": 0.4076911509037018,
|
| 378 |
+
"learning_rate": 9.960507800267546e-05,
|
| 379 |
+
"loss": 1.1418,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.044850498338870434,
|
| 384 |
+
"grad_norm": 0.47769635915756226,
|
| 385 |
+
"learning_rate": 9.95884743566315e-05,
|
| 386 |
+
"loss": 1.5931,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.04568106312292359,
|
| 391 |
+
"grad_norm": 0.389701783657074,
|
| 392 |
+
"learning_rate": 9.957153026957173e-05,
|
| 393 |
+
"loss": 1.1136,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.046511627906976744,
|
| 398 |
+
"grad_norm": 0.3820691704750061,
|
| 399 |
+
"learning_rate": 9.955424585782283e-05,
|
| 400 |
+
"loss": 1.1726,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.0473421926910299,
|
| 405 |
+
"grad_norm": 0.3703025281429291,
|
| 406 |
+
"learning_rate": 9.953662124004792e-05,
|
| 407 |
+
"loss": 1.0905,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.04817275747508306,
|
| 412 |
+
"grad_norm": 0.42741143703460693,
|
| 413 |
+
"learning_rate": 9.951865653724574e-05,
|
| 414 |
+
"loss": 1.3651,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.049003322259136214,
|
| 419 |
+
"grad_norm": 0.41867637634277344,
|
| 420 |
+
"learning_rate": 9.950035187274982e-05,
|
| 421 |
+
"loss": 1.2327,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.04983388704318937,
|
| 426 |
+
"grad_norm": 0.4410296082496643,
|
| 427 |
+
"learning_rate": 9.948170737222762e-05,
|
| 428 |
+
"loss": 1.5586,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.050664451827242524,
|
| 433 |
+
"grad_norm": 0.40873047709465027,
|
| 434 |
+
"learning_rate": 9.946272316367973e-05,
|
| 435 |
+
"loss": 1.2033,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.05149501661129568,
|
| 440 |
+
"grad_norm": 0.435169517993927,
|
| 441 |
+
"learning_rate": 9.94433993774389e-05,
|
| 442 |
+
"loss": 1.0373,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.05232558139534884,
|
| 447 |
+
"grad_norm": 0.4170421063899994,
|
| 448 |
+
"learning_rate": 9.942373614616925e-05,
|
| 449 |
+
"loss": 1.1679,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.053156146179401995,
|
| 454 |
+
"grad_norm": 0.44350698590278625,
|
| 455 |
+
"learning_rate": 9.940373360486519e-05,
|
| 456 |
+
"loss": 1.2918,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.05398671096345515,
|
| 461 |
+
"grad_norm": 0.3921529948711395,
|
| 462 |
+
"learning_rate": 9.938339189085075e-05,
|
| 463 |
+
"loss": 1.2783,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.054817275747508304,
|
| 468 |
+
"grad_norm": 0.44321513175964355,
|
| 469 |
+
"learning_rate": 9.936271114377837e-05,
|
| 470 |
+
"loss": 1.3418,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.05564784053156146,
|
| 475 |
+
"grad_norm": 0.42089399695396423,
|
| 476 |
+
"learning_rate": 9.934169150562815e-05,
|
| 477 |
+
"loss": 1.0298,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.05647840531561462,
|
| 482 |
+
"grad_norm": 0.41770365834236145,
|
| 483 |
+
"learning_rate": 9.93203331207067e-05,
|
| 484 |
+
"loss": 1.1909,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.057308970099667775,
|
| 489 |
+
"grad_norm": 0.4615263044834137,
|
| 490 |
+
"learning_rate": 9.929863613564631e-05,
|
| 491 |
+
"loss": 1.1716,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.05813953488372093,
|
| 496 |
+
"grad_norm": 0.43346571922302246,
|
| 497 |
+
"learning_rate": 9.927660069940385e-05,
|
| 498 |
+
"loss": 1.0525,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.058970099667774084,
|
| 503 |
+
"grad_norm": 0.4426651895046234,
|
| 504 |
+
"learning_rate": 9.925422696325975e-05,
|
| 505 |
+
"loss": 1.1438,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.059800664451827246,
|
| 510 |
+
"grad_norm": 0.4421578347682953,
|
| 511 |
+
"learning_rate": 9.9231515080817e-05,
|
| 512 |
+
"loss": 1.1144,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.0606312292358804,
|
| 517 |
+
"grad_norm": 0.5192376375198364,
|
| 518 |
+
"learning_rate": 9.920846520800004e-05,
|
| 519 |
+
"loss": 1.2093,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.061461794019933555,
|
| 524 |
+
"grad_norm": 0.44912227988243103,
|
| 525 |
+
"learning_rate": 9.918507750305379e-05,
|
| 526 |
+
"loss": 0.8988,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.06229235880398671,
|
| 531 |
+
"grad_norm": 0.4720863103866577,
|
| 532 |
+
"learning_rate": 9.916135212654242e-05,
|
| 533 |
+
"loss": 1.0723,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.06312292358803986,
|
| 538 |
+
"grad_norm": 0.5786833763122559,
|
| 539 |
+
"learning_rate": 9.913728924134838e-05,
|
| 540 |
+
"loss": 1.4994,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.06395348837209303,
|
| 545 |
+
"grad_norm": 0.4157602787017822,
|
| 546 |
+
"learning_rate": 9.91128890126712e-05,
|
| 547 |
+
"loss": 0.9483,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.06478405315614617,
|
| 552 |
+
"grad_norm": 0.5317956805229187,
|
| 553 |
+
"learning_rate": 9.90881516080264e-05,
|
| 554 |
+
"loss": 1.1812,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.06561461794019934,
|
| 559 |
+
"grad_norm": 0.5728016495704651,
|
| 560 |
+
"learning_rate": 9.906307719724431e-05,
|
| 561 |
+
"loss": 1.3432,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.0664451827242525,
|
| 566 |
+
"grad_norm": 0.4920070469379425,
|
| 567 |
+
"learning_rate": 9.903766595246893e-05,
|
| 568 |
+
"loss": 1.0181,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.06727574750830564,
|
| 573 |
+
"grad_norm": 0.48954302072525024,
|
| 574 |
+
"learning_rate": 9.90119180481567e-05,
|
| 575 |
+
"loss": 1.1,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.0681063122923588,
|
| 580 |
+
"grad_norm": 0.5216732621192932,
|
| 581 |
+
"learning_rate": 9.898583366107538e-05,
|
| 582 |
+
"loss": 1.2424,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.06893687707641195,
|
| 587 |
+
"grad_norm": 0.5158425569534302,
|
| 588 |
+
"learning_rate": 9.895941297030278e-05,
|
| 589 |
+
"loss": 1.2009,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.06976744186046512,
|
| 594 |
+
"grad_norm": 0.5216576457023621,
|
| 595 |
+
"learning_rate": 9.893265615722554e-05,
|
| 596 |
+
"loss": 1.1335,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.07059800664451828,
|
| 601 |
+
"grad_norm": 0.6133514046669006,
|
| 602 |
+
"learning_rate": 9.890556340553787e-05,
|
| 603 |
+
"loss": 1.076,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.07142857142857142,
|
| 608 |
+
"grad_norm": 0.5426653027534485,
|
| 609 |
+
"learning_rate": 9.887813490124036e-05,
|
| 610 |
+
"loss": 1.2493,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.07225913621262459,
|
| 615 |
+
"grad_norm": 0.5876060724258423,
|
| 616 |
+
"learning_rate": 9.885037083263862e-05,
|
| 617 |
+
"loss": 1.0067,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.07308970099667775,
|
| 622 |
+
"grad_norm": 0.5988413691520691,
|
| 623 |
+
"learning_rate": 9.882227139034197e-05,
|
| 624 |
+
"loss": 1.1349,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.0739202657807309,
|
| 629 |
+
"grad_norm": 0.7058652639389038,
|
| 630 |
+
"learning_rate": 9.879383676726228e-05,
|
| 631 |
+
"loss": 1.2409,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.07475083056478406,
|
| 636 |
+
"grad_norm": 1.251499891281128,
|
| 637 |
+
"learning_rate": 9.876506715861247e-05,
|
| 638 |
+
"loss": 1.5029,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.0755813953488372,
|
| 643 |
+
"grad_norm": 1.0047953128814697,
|
| 644 |
+
"learning_rate": 9.873596276190526e-05,
|
| 645 |
+
"loss": 1.2852,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.07641196013289037,
|
| 650 |
+
"grad_norm": 1.0148297548294067,
|
| 651 |
+
"learning_rate": 9.870652377695181e-05,
|
| 652 |
+
"loss": 1.3367,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.07724252491694353,
|
| 657 |
+
"grad_norm": 0.968641459941864,
|
| 658 |
+
"learning_rate": 9.867675040586034e-05,
|
| 659 |
+
"loss": 1.2301,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.07807308970099668,
|
| 664 |
+
"grad_norm": 0.8970495462417603,
|
| 665 |
+
"learning_rate": 9.864664285303474e-05,
|
| 666 |
+
"loss": 1.0635,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.07890365448504984,
|
| 671 |
+
"grad_norm": 0.6693372130393982,
|
| 672 |
+
"learning_rate": 9.861620132517313e-05,
|
| 673 |
+
"loss": 1.4661,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.07973421926910298,
|
| 678 |
+
"grad_norm": 0.663826584815979,
|
| 679 |
+
"learning_rate": 9.858542603126653e-05,
|
| 680 |
+
"loss": 1.4328,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.08056478405315615,
|
| 685 |
+
"grad_norm": 0.9918713569641113,
|
| 686 |
+
"learning_rate": 9.855431718259734e-05,
|
| 687 |
+
"loss": 1.7106,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.08139534883720931,
|
| 692 |
+
"grad_norm": 1.2102949619293213,
|
| 693 |
+
"learning_rate": 9.852287499273795e-05,
|
| 694 |
+
"loss": 1.5173,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.08222591362126246,
|
| 699 |
+
"grad_norm": 0.7180892825126648,
|
| 700 |
+
"learning_rate": 9.849109967754919e-05,
|
| 701 |
+
"loss": 1.9093,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.08305647840531562,
|
| 706 |
+
"grad_norm": 0.7022852301597595,
|
| 707 |
+
"learning_rate": 9.845899145517898e-05,
|
| 708 |
+
"loss": 1.8911,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.08388704318936877,
|
| 713 |
+
"grad_norm": 1.3352265357971191,
|
| 714 |
+
"learning_rate": 9.84265505460607e-05,
|
| 715 |
+
"loss": 1.2523,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.08471760797342193,
|
| 720 |
+
"grad_norm": 0.9616285562515259,
|
| 721 |
+
"learning_rate": 9.839377717291172e-05,
|
| 722 |
+
"loss": 1.1401,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.08554817275747509,
|
| 727 |
+
"grad_norm": 0.5887272953987122,
|
| 728 |
+
"learning_rate": 9.836067156073196e-05,
|
| 729 |
+
"loss": 1.1497,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.08637873754152824,
|
| 734 |
+
"grad_norm": 0.4377554655075073,
|
| 735 |
+
"learning_rate": 9.83272339368022e-05,
|
| 736 |
+
"loss": 1.1824,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.0872093023255814,
|
| 741 |
+
"grad_norm": 0.4125669300556183,
|
| 742 |
+
"learning_rate": 9.829346453068263e-05,
|
| 743 |
+
"loss": 1.0539,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.08803986710963455,
|
| 748 |
+
"grad_norm": 0.42765673995018005,
|
| 749 |
+
"learning_rate": 9.825936357421119e-05,
|
| 750 |
+
"loss": 1.0731,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.0888704318936877,
|
| 755 |
+
"grad_norm": 0.4212810695171356,
|
| 756 |
+
"learning_rate": 9.822493130150205e-05,
|
| 757 |
+
"loss": 1.2554,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.08970099667774087,
|
| 762 |
+
"grad_norm": 0.4331800043582916,
|
| 763 |
+
"learning_rate": 9.819016794894398e-05,
|
| 764 |
+
"loss": 1.1332,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.09053156146179402,
|
| 769 |
+
"grad_norm": 0.4134885370731354,
|
| 770 |
+
"learning_rate": 9.81550737551987e-05,
|
| 771 |
+
"loss": 1.1947,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.09136212624584718,
|
| 776 |
+
"grad_norm": 0.38614025712013245,
|
| 777 |
+
"learning_rate": 9.811964896119925e-05,
|
| 778 |
+
"loss": 1.096,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.09219269102990033,
|
| 783 |
+
"grad_norm": 0.4370211064815521,
|
| 784 |
+
"learning_rate": 9.808389381014842e-05,
|
| 785 |
+
"loss": 1.1304,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.09302325581395349,
|
| 790 |
+
"grad_norm": 0.4610917866230011,
|
| 791 |
+
"learning_rate": 9.804780854751692e-05,
|
| 792 |
+
"loss": 1.1183,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.09385382059800665,
|
| 797 |
+
"grad_norm": 0.4317246973514557,
|
| 798 |
+
"learning_rate": 9.801139342104185e-05,
|
| 799 |
+
"loss": 1.0942,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.0946843853820598,
|
| 804 |
+
"grad_norm": 0.35810256004333496,
|
| 805 |
+
"learning_rate": 9.797464868072488e-05,
|
| 806 |
+
"loss": 1.0067,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.09551495016611296,
|
| 811 |
+
"grad_norm": 0.32996103167533875,
|
| 812 |
+
"learning_rate": 9.793757457883062e-05,
|
| 813 |
+
"loss": 1.0033,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.09634551495016612,
|
| 818 |
+
"grad_norm": 0.3516066074371338,
|
| 819 |
+
"learning_rate": 9.790017136988486e-05,
|
| 820 |
+
"loss": 1.0525,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.09717607973421927,
|
| 825 |
+
"grad_norm": 0.34211546182632446,
|
| 826 |
+
"learning_rate": 9.786243931067277e-05,
|
| 827 |
+
"loss": 1.0535,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.09800664451827243,
|
| 832 |
+
"grad_norm": 0.5199074149131775,
|
| 833 |
+
"learning_rate": 9.782437866023724e-05,
|
| 834 |
+
"loss": 0.9772,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.09883720930232558,
|
| 839 |
+
"grad_norm": 0.3598504960536957,
|
| 840 |
+
"learning_rate": 9.778598967987704e-05,
|
| 841 |
+
"loss": 0.956,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.09966777408637874,
|
| 846 |
+
"grad_norm": 0.3455759882926941,
|
| 847 |
+
"learning_rate": 9.774727263314498e-05,
|
| 848 |
+
"loss": 0.935,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.1004983388704319,
|
| 853 |
+
"grad_norm": 0.3836323916912079,
|
| 854 |
+
"learning_rate": 9.770822778584621e-05,
|
| 855 |
+
"loss": 1.1212,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.10132890365448505,
|
| 860 |
+
"grad_norm": 0.35276830196380615,
|
| 861 |
+
"learning_rate": 9.76688554060363e-05,
|
| 862 |
+
"loss": 1.1387,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.10215946843853821,
|
| 867 |
+
"grad_norm": 0.4226708710193634,
|
| 868 |
+
"learning_rate": 9.762915576401945e-05,
|
| 869 |
+
"loss": 1.1717,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.10299003322259136,
|
| 874 |
+
"grad_norm": 0.43557512760162354,
|
| 875 |
+
"learning_rate": 9.758912913234665e-05,
|
| 876 |
+
"loss": 1.2712,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.10382059800664452,
|
| 881 |
+
"grad_norm": 0.4375877380371094,
|
| 882 |
+
"learning_rate": 9.754877578581372e-05,
|
| 883 |
+
"loss": 1.0037,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.10465116279069768,
|
| 888 |
+
"grad_norm": 0.5096732378005981,
|
| 889 |
+
"learning_rate": 9.750809600145954e-05,
|
| 890 |
+
"loss": 1.1839,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.10548172757475083,
|
| 895 |
+
"grad_norm": 0.44850867986679077,
|
| 896 |
+
"learning_rate": 9.746709005856406e-05,
|
| 897 |
+
"loss": 1.1614,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.10631229235880399,
|
| 902 |
+
"grad_norm": 0.42907238006591797,
|
| 903 |
+
"learning_rate": 9.742575823864643e-05,
|
| 904 |
+
"loss": 0.9948,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.10714285714285714,
|
| 909 |
+
"grad_norm": 0.47005370259284973,
|
| 910 |
+
"learning_rate": 9.738410082546304e-05,
|
| 911 |
+
"loss": 1.3166,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.1079734219269103,
|
| 916 |
+
"grad_norm": 0.4051884710788727,
|
| 917 |
+
"learning_rate": 9.734211810500557e-05,
|
| 918 |
+
"loss": 0.9562,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.10880398671096346,
|
| 923 |
+
"grad_norm": 0.4847196042537689,
|
| 924 |
+
"learning_rate": 9.729981036549911e-05,
|
| 925 |
+
"loss": 1.0946,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.10963455149501661,
|
| 930 |
+
"grad_norm": 0.4471109211444855,
|
| 931 |
+
"learning_rate": 9.725717789740002e-05,
|
| 932 |
+
"loss": 0.9905,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.11046511627906977,
|
| 937 |
+
"grad_norm": 0.5282467007637024,
|
| 938 |
+
"learning_rate": 9.721422099339408e-05,
|
| 939 |
+
"loss": 1.3748,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.11129568106312292,
|
| 944 |
+
"grad_norm": 0.46753332018852234,
|
| 945 |
+
"learning_rate": 9.717093994839443e-05,
|
| 946 |
+
"loss": 1.0631,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.11212624584717608,
|
| 951 |
+
"grad_norm": 0.6386809349060059,
|
| 952 |
+
"learning_rate": 9.712733505953951e-05,
|
| 953 |
+
"loss": 1.3702,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.11295681063122924,
|
| 958 |
+
"grad_norm": 0.5727132558822632,
|
| 959 |
+
"learning_rate": 9.708340662619108e-05,
|
| 960 |
+
"loss": 1.0232,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.11378737541528239,
|
| 965 |
+
"grad_norm": 0.542736291885376,
|
| 966 |
+
"learning_rate": 9.703915494993215e-05,
|
| 967 |
+
"loss": 1.0423,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.11461794019933555,
|
| 972 |
+
"grad_norm": 0.5198262929916382,
|
| 973 |
+
"learning_rate": 9.699458033456485e-05,
|
| 974 |
+
"loss": 1.0543,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.11544850498338871,
|
| 979 |
+
"grad_norm": 0.6104252934455872,
|
| 980 |
+
"learning_rate": 9.694968308610844e-05,
|
| 981 |
+
"loss": 1.227,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.11627906976744186,
|
| 986 |
+
"grad_norm": 0.6988504528999329,
|
| 987 |
+
"learning_rate": 9.690446351279713e-05,
|
| 988 |
+
"loss": 1.4354,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.11710963455149502,
|
| 993 |
+
"grad_norm": 1.157366156578064,
|
| 994 |
+
"learning_rate": 9.685892192507804e-05,
|
| 995 |
+
"loss": 1.4597,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.11794019933554817,
|
| 1000 |
+
"grad_norm": 1.6810818910598755,
|
| 1001 |
+
"learning_rate": 9.681305863560896e-05,
|
| 1002 |
+
"loss": 1.6604,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.11877076411960133,
|
| 1007 |
+
"grad_norm": 2.7330241203308105,
|
| 1008 |
+
"learning_rate": 9.676687395925631e-05,
|
| 1009 |
+
"loss": 0.7902,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.11960132890365449,
|
| 1014 |
+
"grad_norm": 0.6627132892608643,
|
| 1015 |
+
"learning_rate": 9.672036821309292e-05,
|
| 1016 |
+
"loss": 1.3769,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.12043189368770764,
|
| 1021 |
+
"grad_norm": 0.6601414680480957,
|
| 1022 |
+
"learning_rate": 9.667354171639589e-05,
|
| 1023 |
+
"loss": 1.305,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.1212624584717608,
|
| 1028 |
+
"grad_norm": 0.7301626205444336,
|
| 1029 |
+
"learning_rate": 9.662639479064433e-05,
|
| 1030 |
+
"loss": 1.6287,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.12209302325581395,
|
| 1035 |
+
"grad_norm": 0.8652046322822571,
|
| 1036 |
+
"learning_rate": 9.657892775951725e-05,
|
| 1037 |
+
"loss": 1.7812,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.12292358803986711,
|
| 1042 |
+
"grad_norm": 0.8586255311965942,
|
| 1043 |
+
"learning_rate": 9.653114094889127e-05,
|
| 1044 |
+
"loss": 1.8033,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.12375415282392027,
|
| 1049 |
+
"grad_norm": 0.7669869065284729,
|
| 1050 |
+
"learning_rate": 9.64830346868384e-05,
|
| 1051 |
+
"loss": 1.7385,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.12458471760797342,
|
| 1056 |
+
"grad_norm": 0.776881992816925,
|
| 1057 |
+
"learning_rate": 9.643460930362377e-05,
|
| 1058 |
+
"loss": 1.6298,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.12541528239202657,
|
| 1063 |
+
"grad_norm": 5.892143249511719,
|
| 1064 |
+
"learning_rate": 9.63858651317034e-05,
|
| 1065 |
+
"loss": 1.3574,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.12624584717607973,
|
| 1070 |
+
"grad_norm": 1.7542022466659546,
|
| 1071 |
+
"learning_rate": 9.633680250572192e-05,
|
| 1072 |
+
"loss": 1.5287,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.1270764119601329,
|
| 1077 |
+
"grad_norm": 1.029563546180725,
|
| 1078 |
+
"learning_rate": 9.628742176251019e-05,
|
| 1079 |
+
"loss": 1.1049,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.12790697674418605,
|
| 1084 |
+
"grad_norm": 0.8376612663269043,
|
| 1085 |
+
"learning_rate": 9.62377232410831e-05,
|
| 1086 |
+
"loss": 1.4343,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.1287375415282392,
|
| 1091 |
+
"grad_norm": 0.6936919093132019,
|
| 1092 |
+
"learning_rate": 9.618770728263717e-05,
|
| 1093 |
+
"loss": 1.401,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.12956810631229235,
|
| 1098 |
+
"grad_norm": 0.45092615485191345,
|
| 1099 |
+
"learning_rate": 9.613737423054825e-05,
|
| 1100 |
+
"loss": 1.1354,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.1303986710963455,
|
| 1105 |
+
"grad_norm": 0.42109444737434387,
|
| 1106 |
+
"learning_rate": 9.60867244303691e-05,
|
| 1107 |
+
"loss": 1.0554,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.13122923588039867,
|
| 1112 |
+
"grad_norm": 0.37955740094184875,
|
| 1113 |
+
"learning_rate": 9.603575822982711e-05,
|
| 1114 |
+
"loss": 1.0722,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.13205980066445183,
|
| 1119 |
+
"grad_norm": 0.32876577973365784,
|
| 1120 |
+
"learning_rate": 9.598447597882181e-05,
|
| 1121 |
+
"loss": 1.0856,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.132890365448505,
|
| 1126 |
+
"grad_norm": 0.4142758548259735,
|
| 1127 |
+
"learning_rate": 9.593287802942255e-05,
|
| 1128 |
+
"loss": 1.0595,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.13372093023255813,
|
| 1133 |
+
"grad_norm": 0.3402114510536194,
|
| 1134 |
+
"learning_rate": 9.588096473586605e-05,
|
| 1135 |
+
"loss": 1.0763,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.1345514950166113,
|
| 1140 |
+
"grad_norm": 0.5065223574638367,
|
| 1141 |
+
"learning_rate": 9.582873645455397e-05,
|
| 1142 |
+
"loss": 1.2466,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.13538205980066445,
|
| 1147 |
+
"grad_norm": 0.4137636125087738,
|
| 1148 |
+
"learning_rate": 9.577619354405047e-05,
|
| 1149 |
+
"loss": 1.1714,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.1362126245847176,
|
| 1154 |
+
"grad_norm": 0.43655475974082947,
|
| 1155 |
+
"learning_rate": 9.57233363650797e-05,
|
| 1156 |
+
"loss": 1.1803,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.13704318936877077,
|
| 1161 |
+
"grad_norm": 0.36370548605918884,
|
| 1162 |
+
"learning_rate": 9.567016528052342e-05,
|
| 1163 |
+
"loss": 1.2056,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.1378737541528239,
|
| 1168 |
+
"grad_norm": 0.40192461013793945,
|
| 1169 |
+
"learning_rate": 9.561668065541841e-05,
|
| 1170 |
+
"loss": 1.2035,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.13870431893687707,
|
| 1175 |
+
"grad_norm": 0.343547523021698,
|
| 1176 |
+
"learning_rate": 9.556288285695405e-05,
|
| 1177 |
+
"loss": 0.9322,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.13953488372093023,
|
| 1182 |
+
"grad_norm": 0.38246122002601624,
|
| 1183 |
+
"learning_rate": 9.550877225446973e-05,
|
| 1184 |
+
"loss": 1.1068,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.1403654485049834,
|
| 1189 |
+
"grad_norm": 0.35736140608787537,
|
| 1190 |
+
"learning_rate": 9.545434921945236e-05,
|
| 1191 |
+
"loss": 1.0511,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.14119601328903655,
|
| 1196 |
+
"grad_norm": 0.3873831629753113,
|
| 1197 |
+
"learning_rate": 9.539961412553375e-05,
|
| 1198 |
+
"loss": 1.1969,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.1420265780730897,
|
| 1203 |
+
"grad_norm": 0.3767174184322357,
|
| 1204 |
+
"learning_rate": 9.534456734848816e-05,
|
| 1205 |
+
"loss": 1.0787,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.14285714285714285,
|
| 1210 |
+
"grad_norm": 0.3375527262687683,
|
| 1211 |
+
"learning_rate": 9.528920926622965e-05,
|
| 1212 |
+
"loss": 1.0313,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.143687707641196,
|
| 1217 |
+
"grad_norm": 0.365445613861084,
|
| 1218 |
+
"learning_rate": 9.523354025880944e-05,
|
| 1219 |
+
"loss": 0.9471,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.14451827242524917,
|
| 1224 |
+
"grad_norm": 0.3636738955974579,
|
| 1225 |
+
"learning_rate": 9.517756070841339e-05,
|
| 1226 |
+
"loss": 0.9616,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.14534883720930233,
|
| 1231 |
+
"grad_norm": 0.5927349328994751,
|
| 1232 |
+
"learning_rate": 9.512127099935933e-05,
|
| 1233 |
+
"loss": 1.1494,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.1461794019933555,
|
| 1238 |
+
"grad_norm": 0.38282474875450134,
|
| 1239 |
+
"learning_rate": 9.506467151809446e-05,
|
| 1240 |
+
"loss": 1.0891,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.14700996677740863,
|
| 1245 |
+
"grad_norm": 0.42068254947662354,
|
| 1246 |
+
"learning_rate": 9.50077626531926e-05,
|
| 1247 |
+
"loss": 1.0558,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.1478405315614618,
|
| 1252 |
+
"grad_norm": 0.5121377110481262,
|
| 1253 |
+
"learning_rate": 9.495054479535167e-05,
|
| 1254 |
+
"loss": 1.0502,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.14867109634551495,
|
| 1259 |
+
"grad_norm": 0.43572869896888733,
|
| 1260 |
+
"learning_rate": 9.489301833739087e-05,
|
| 1261 |
+
"loss": 1.1904,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.14950166112956811,
|
| 1266 |
+
"grad_norm": 0.4477289319038391,
|
| 1267 |
+
"learning_rate": 9.483518367424803e-05,
|
| 1268 |
+
"loss": 0.8775,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.15033222591362128,
|
| 1273 |
+
"grad_norm": 0.43644505739212036,
|
| 1274 |
+
"learning_rate": 9.477704120297697e-05,
|
| 1275 |
+
"loss": 0.883,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.1511627906976744,
|
| 1280 |
+
"grad_norm": 0.42366358637809753,
|
| 1281 |
+
"learning_rate": 9.471859132274467e-05,
|
| 1282 |
+
"loss": 1.0469,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.15199335548172757,
|
| 1287 |
+
"grad_norm": 0.5172445178031921,
|
| 1288 |
+
"learning_rate": 9.465983443482858e-05,
|
| 1289 |
+
"loss": 1.1909,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.15282392026578073,
|
| 1294 |
+
"grad_norm": 0.5384465456008911,
|
| 1295 |
+
"learning_rate": 9.460077094261386e-05,
|
| 1296 |
+
"loss": 1.463,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.1536544850498339,
|
| 1301 |
+
"grad_norm": 0.47480395436286926,
|
| 1302 |
+
"learning_rate": 9.454140125159059e-05,
|
| 1303 |
+
"loss": 1.017,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.15448504983388706,
|
| 1308 |
+
"grad_norm": 0.48875659704208374,
|
| 1309 |
+
"learning_rate": 9.448172576935106e-05,
|
| 1310 |
+
"loss": 1.2197,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.1553156146179402,
|
| 1315 |
+
"grad_norm": 0.5268120169639587,
|
| 1316 |
+
"learning_rate": 9.442174490558684e-05,
|
| 1317 |
+
"loss": 1.1601,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.15614617940199335,
|
| 1322 |
+
"grad_norm": 0.5318688154220581,
|
| 1323 |
+
"learning_rate": 9.436145907208609e-05,
|
| 1324 |
+
"loss": 1.229,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.1569767441860465,
|
| 1329 |
+
"grad_norm": 0.6206968426704407,
|
| 1330 |
+
"learning_rate": 9.430086868273069e-05,
|
| 1331 |
+
"loss": 1.1517,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.15780730897009967,
|
| 1336 |
+
"grad_norm": 0.7821551561355591,
|
| 1337 |
+
"learning_rate": 9.423997415349338e-05,
|
| 1338 |
+
"loss": 1.3889,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.15863787375415284,
|
| 1343 |
+
"grad_norm": 0.7484890818595886,
|
| 1344 |
+
"learning_rate": 9.417877590243492e-05,
|
| 1345 |
+
"loss": 1.2834,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.15946843853820597,
|
| 1350 |
+
"grad_norm": 1.2835233211517334,
|
| 1351 |
+
"learning_rate": 9.411727434970121e-05,
|
| 1352 |
+
"loss": 0.8839,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.16029900332225913,
|
| 1357 |
+
"grad_norm": 1.346498966217041,
|
| 1358 |
+
"learning_rate": 9.405546991752046e-05,
|
| 1359 |
+
"loss": 1.3051,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.1611295681063123,
|
| 1364 |
+
"grad_norm": 1.9647303819656372,
|
| 1365 |
+
"learning_rate": 9.399336303020016e-05,
|
| 1366 |
+
"loss": 1.3033,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.16196013289036545,
|
| 1371 |
+
"grad_norm": 0.6098899841308594,
|
| 1372 |
+
"learning_rate": 9.393095411412435e-05,
|
| 1373 |
+
"loss": 1.2438,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.16279069767441862,
|
| 1378 |
+
"grad_norm": 0.5487431883811951,
|
| 1379 |
+
"learning_rate": 9.386824359775055e-05,
|
| 1380 |
+
"loss": 1.3844,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.16362126245847175,
|
| 1385 |
+
"grad_norm": 0.6355300545692444,
|
| 1386 |
+
"learning_rate": 9.380523191160682e-05,
|
| 1387 |
+
"loss": 1.5138,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.1644518272425249,
|
| 1392 |
+
"grad_norm": 0.7408167719841003,
|
| 1393 |
+
"learning_rate": 9.374191948828894e-05,
|
| 1394 |
+
"loss": 1.2808,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.16528239202657807,
|
| 1399 |
+
"grad_norm": 0.7942878603935242,
|
| 1400 |
+
"learning_rate": 9.367830676245728e-05,
|
| 1401 |
+
"loss": 1.9019,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.16611295681063123,
|
| 1406 |
+
"grad_norm": 0.7892114520072937,
|
| 1407 |
+
"learning_rate": 9.361439417083391e-05,
|
| 1408 |
+
"loss": 1.5715,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.1669435215946844,
|
| 1413 |
+
"grad_norm": 0.40080615878105164,
|
| 1414 |
+
"learning_rate": 9.35501821521996e-05,
|
| 1415 |
+
"loss": 1.0789,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.16777408637873753,
|
| 1420 |
+
"grad_norm": 0.45729860663414,
|
| 1421 |
+
"learning_rate": 9.34856711473907e-05,
|
| 1422 |
+
"loss": 1.3287,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.1686046511627907,
|
| 1427 |
+
"grad_norm": 0.4126485288143158,
|
| 1428 |
+
"learning_rate": 9.34208615992963e-05,
|
| 1429 |
+
"loss": 1.1503,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.16943521594684385,
|
| 1434 |
+
"grad_norm": 0.38482362031936646,
|
| 1435 |
+
"learning_rate": 9.335575395285501e-05,
|
| 1436 |
+
"loss": 1.0912,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.17026578073089702,
|
| 1441 |
+
"grad_norm": 0.34688103199005127,
|
| 1442 |
+
"learning_rate": 9.329034865505206e-05,
|
| 1443 |
+
"loss": 0.8948,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.17109634551495018,
|
| 1448 |
+
"grad_norm": 0.3837721049785614,
|
| 1449 |
+
"learning_rate": 9.322464615491606e-05,
|
| 1450 |
+
"loss": 1.0593,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.1719269102990033,
|
| 1455 |
+
"grad_norm": 0.34867429733276367,
|
| 1456 |
+
"learning_rate": 9.315864690351607e-05,
|
| 1457 |
+
"loss": 0.957,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.17275747508305647,
|
| 1462 |
+
"grad_norm": 0.34445056319236755,
|
| 1463 |
+
"learning_rate": 9.309235135395844e-05,
|
| 1464 |
+
"loss": 0.9905,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.17358803986710963,
|
| 1469 |
+
"grad_norm": 0.3708004951477051,
|
| 1470 |
+
"learning_rate": 9.302575996138368e-05,
|
| 1471 |
+
"loss": 1.0446,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.1744186046511628,
|
| 1476 |
+
"grad_norm": 0.3682551085948944,
|
| 1477 |
+
"learning_rate": 9.29588731829634e-05,
|
| 1478 |
+
"loss": 1.1224,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.17524916943521596,
|
| 1483 |
+
"grad_norm": 0.3659668266773224,
|
| 1484 |
+
"learning_rate": 9.289169147789707e-05,
|
| 1485 |
+
"loss": 1.0877,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.1760797342192691,
|
| 1490 |
+
"grad_norm": 0.4240683913230896,
|
| 1491 |
+
"learning_rate": 9.282421530740899e-05,
|
| 1492 |
+
"loss": 1.2557,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.17691029900332225,
|
| 1497 |
+
"grad_norm": 0.38493841886520386,
|
| 1498 |
+
"learning_rate": 9.275644513474501e-05,
|
| 1499 |
+
"loss": 1.04,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.1777408637873754,
|
| 1504 |
+
"grad_norm": 0.3720282316207886,
|
| 1505 |
+
"learning_rate": 9.268838142516943e-05,
|
| 1506 |
+
"loss": 1.1625,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.17857142857142858,
|
| 1511 |
+
"grad_norm": 0.3604121506214142,
|
| 1512 |
+
"learning_rate": 9.262002464596178e-05,
|
| 1513 |
+
"loss": 0.9098,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.17940199335548174,
|
| 1518 |
+
"grad_norm": 0.3949112594127655,
|
| 1519 |
+
"learning_rate": 9.255137526641358e-05,
|
| 1520 |
+
"loss": 1.2574,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.18023255813953487,
|
| 1525 |
+
"grad_norm": 0.36455246806144714,
|
| 1526 |
+
"learning_rate": 9.248243375782518e-05,
|
| 1527 |
+
"loss": 1.1162,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.18106312292358803,
|
| 1532 |
+
"grad_norm": 0.40363040566444397,
|
| 1533 |
+
"learning_rate": 9.241320059350243e-05,
|
| 1534 |
+
"loss": 1.1599,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.1818936877076412,
|
| 1539 |
+
"grad_norm": 0.4062196612358093,
|
| 1540 |
+
"learning_rate": 9.23436762487536e-05,
|
| 1541 |
+
"loss": 1.2368,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.18272425249169436,
|
| 1546 |
+
"grad_norm": 0.4072086811065674,
|
| 1547 |
+
"learning_rate": 9.22738612008859e-05,
|
| 1548 |
+
"loss": 1.0331,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.18355481727574752,
|
| 1553 |
+
"grad_norm": 0.4103226065635681,
|
| 1554 |
+
"learning_rate": 9.220375592920238e-05,
|
| 1555 |
+
"loss": 1.1766,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.18438538205980065,
|
| 1560 |
+
"grad_norm": 0.39902743697166443,
|
| 1561 |
+
"learning_rate": 9.213336091499855e-05,
|
| 1562 |
+
"loss": 0.95,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.1852159468438538,
|
| 1567 |
+
"grad_norm": 0.39737093448638916,
|
| 1568 |
+
"learning_rate": 9.206267664155907e-05,
|
| 1569 |
+
"loss": 1.0083,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.18604651162790697,
|
| 1574 |
+
"grad_norm": 0.40778589248657227,
|
| 1575 |
+
"learning_rate": 9.199170359415448e-05,
|
| 1576 |
+
"loss": 1.1456,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.18687707641196014,
|
| 1581 |
+
"grad_norm": 0.39630424976348877,
|
| 1582 |
+
"learning_rate": 9.192044226003789e-05,
|
| 1583 |
+
"loss": 0.9017,
|
| 1584 |
+
"step": 225
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.1877076411960133,
|
| 1588 |
+
"grad_norm": 0.3851598799228668,
|
| 1589 |
+
"learning_rate": 9.18488931284415e-05,
|
| 1590 |
+
"loss": 1.0358,
|
| 1591 |
+
"step": 226
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.18853820598006646,
|
| 1595 |
+
"grad_norm": 0.3983210325241089,
|
| 1596 |
+
"learning_rate": 9.177705669057343e-05,
|
| 1597 |
+
"loss": 0.9138,
|
| 1598 |
+
"step": 227
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.1893687707641196,
|
| 1602 |
+
"grad_norm": 0.4639119803905487,
|
| 1603 |
+
"learning_rate": 9.170493343961417e-05,
|
| 1604 |
+
"loss": 1.0634,
|
| 1605 |
+
"step": 228
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.19019933554817275,
|
| 1609 |
+
"grad_norm": 0.4920639991760254,
|
| 1610 |
+
"learning_rate": 9.163252387071335e-05,
|
| 1611 |
+
"loss": 1.2315,
|
| 1612 |
+
"step": 229
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.19102990033222592,
|
| 1616 |
+
"grad_norm": 0.45825761556625366,
|
| 1617 |
+
"learning_rate": 9.155982848098619e-05,
|
| 1618 |
+
"loss": 1.1077,
|
| 1619 |
+
"step": 230
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.19186046511627908,
|
| 1623 |
+
"grad_norm": 0.3676402270793915,
|
| 1624 |
+
"learning_rate": 9.148684776951022e-05,
|
| 1625 |
+
"loss": 0.8934,
|
| 1626 |
+
"step": 231
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.19269102990033224,
|
| 1630 |
+
"grad_norm": 0.4435743987560272,
|
| 1631 |
+
"learning_rate": 9.141358223732176e-05,
|
| 1632 |
+
"loss": 1.1319,
|
| 1633 |
+
"step": 232
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.19352159468438537,
|
| 1637 |
+
"grad_norm": 0.5071436762809753,
|
| 1638 |
+
"learning_rate": 9.134003238741258e-05,
|
| 1639 |
+
"loss": 1.1033,
|
| 1640 |
+
"step": 233
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.19435215946843853,
|
| 1644 |
+
"grad_norm": 0.4594777226448059,
|
| 1645 |
+
"learning_rate": 9.126619872472627e-05,
|
| 1646 |
+
"loss": 1.1039,
|
| 1647 |
+
"step": 234
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.1951827242524917,
|
| 1651 |
+
"grad_norm": 0.5245004892349243,
|
| 1652 |
+
"learning_rate": 9.119208175615502e-05,
|
| 1653 |
+
"loss": 1.0337,
|
| 1654 |
+
"step": 235
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.19601328903654486,
|
| 1658 |
+
"grad_norm": 0.5391436219215393,
|
| 1659 |
+
"learning_rate": 9.111768199053588e-05,
|
| 1660 |
+
"loss": 1.1351,
|
| 1661 |
+
"step": 236
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.19684385382059802,
|
| 1665 |
+
"grad_norm": 0.5461758375167847,
|
| 1666 |
+
"learning_rate": 9.104299993864751e-05,
|
| 1667 |
+
"loss": 1.107,
|
| 1668 |
+
"step": 237
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.19767441860465115,
|
| 1672 |
+
"grad_norm": 0.5125625133514404,
|
| 1673 |
+
"learning_rate": 9.096803611320647e-05,
|
| 1674 |
+
"loss": 1.0142,
|
| 1675 |
+
"step": 238
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.19850498338870431,
|
| 1679 |
+
"grad_norm": 0.59673011302948,
|
| 1680 |
+
"learning_rate": 9.089279102886383e-05,
|
| 1681 |
+
"loss": 1.2328,
|
| 1682 |
+
"step": 239
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.19933554817275748,
|
| 1686 |
+
"grad_norm": 0.6944905519485474,
|
| 1687 |
+
"learning_rate": 9.081726520220157e-05,
|
| 1688 |
+
"loss": 1.5213,
|
| 1689 |
+
"step": 240
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.20016611295681064,
|
| 1693 |
+
"grad_norm": 0.7668107151985168,
|
| 1694 |
+
"learning_rate": 9.074145915172909e-05,
|
| 1695 |
+
"loss": 1.1205,
|
| 1696 |
+
"step": 241
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.2009966777408638,
|
| 1700 |
+
"grad_norm": 0.9041101336479187,
|
| 1701 |
+
"learning_rate": 9.06653733978796e-05,
|
| 1702 |
+
"loss": 1.0536,
|
| 1703 |
+
"step": 242
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.20182724252491693,
|
| 1707 |
+
"grad_norm": 1.9888440370559692,
|
| 1708 |
+
"learning_rate": 9.058900846300655e-05,
|
| 1709 |
+
"loss": 0.7866,
|
| 1710 |
+
"step": 243
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.2026578073089701,
|
| 1714 |
+
"grad_norm": 0.878629744052887,
|
| 1715 |
+
"learning_rate": 9.051236487138009e-05,
|
| 1716 |
+
"loss": 1.4797,
|
| 1717 |
+
"step": 244
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.20348837209302326,
|
| 1721 |
+
"grad_norm": 0.6538046002388,
|
| 1722 |
+
"learning_rate": 9.04354431491834e-05,
|
| 1723 |
+
"loss": 1.4146,
|
| 1724 |
+
"step": 245
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.20431893687707642,
|
| 1728 |
+
"grad_norm": 0.8204836249351501,
|
| 1729 |
+
"learning_rate": 9.035824382450914e-05,
|
| 1730 |
+
"loss": 1.6264,
|
| 1731 |
+
"step": 246
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.20514950166112958,
|
| 1735 |
+
"grad_norm": 0.668964684009552,
|
| 1736 |
+
"learning_rate": 9.028076742735583e-05,
|
| 1737 |
+
"loss": 1.6275,
|
| 1738 |
+
"step": 247
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.2059800664451827,
|
| 1742 |
+
"grad_norm": 0.6760320663452148,
|
| 1743 |
+
"learning_rate": 9.020301448962412e-05,
|
| 1744 |
+
"loss": 1.5697,
|
| 1745 |
+
"step": 248
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.20681063122923588,
|
| 1749 |
+
"grad_norm": 0.787839412689209,
|
| 1750 |
+
"learning_rate": 9.012498554511323e-05,
|
| 1751 |
+
"loss": 1.6312,
|
| 1752 |
+
"step": 249
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.20764119601328904,
|
| 1756 |
+
"grad_norm": 0.8162153363227844,
|
| 1757 |
+
"learning_rate": 9.004668112951729e-05,
|
| 1758 |
+
"loss": 1.8052,
|
| 1759 |
+
"step": 250
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.2084717607973422,
|
| 1763 |
+
"grad_norm": 0.5513446927070618,
|
| 1764 |
+
"learning_rate": 8.996810178042156e-05,
|
| 1765 |
+
"loss": 1.4598,
|
| 1766 |
+
"step": 251
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.20930232558139536,
|
| 1770 |
+
"grad_norm": 0.4128928482532501,
|
| 1771 |
+
"learning_rate": 8.988924803729888e-05,
|
| 1772 |
+
"loss": 1.1677,
|
| 1773 |
+
"step": 252
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.2101328903654485,
|
| 1777 |
+
"grad_norm": 0.4060623347759247,
|
| 1778 |
+
"learning_rate": 8.981012044150586e-05,
|
| 1779 |
+
"loss": 1.1199,
|
| 1780 |
+
"step": 253
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.21096345514950166,
|
| 1784 |
+
"grad_norm": 0.45278000831604004,
|
| 1785 |
+
"learning_rate": 8.973071953627916e-05,
|
| 1786 |
+
"loss": 1.2253,
|
| 1787 |
+
"step": 254
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.21179401993355482,
|
| 1791 |
+
"grad_norm": 0.41483479738235474,
|
| 1792 |
+
"learning_rate": 8.965104586673188e-05,
|
| 1793 |
+
"loss": 0.9995,
|
| 1794 |
+
"step": 255
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.21262458471760798,
|
| 1798 |
+
"grad_norm": 0.45233410596847534,
|
| 1799 |
+
"learning_rate": 8.957109997984968e-05,
|
| 1800 |
+
"loss": 1.2947,
|
| 1801 |
+
"step": 256
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.21345514950166114,
|
| 1805 |
+
"grad_norm": 0.4158819317817688,
|
| 1806 |
+
"learning_rate": 8.949088242448708e-05,
|
| 1807 |
+
"loss": 1.1816,
|
| 1808 |
+
"step": 257
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.21428571428571427,
|
| 1812 |
+
"grad_norm": 0.4162903428077698,
|
| 1813 |
+
"learning_rate": 8.941039375136371e-05,
|
| 1814 |
+
"loss": 1.1521,
|
| 1815 |
+
"step": 258
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.21511627906976744,
|
| 1819 |
+
"grad_norm": 0.40562358498573303,
|
| 1820 |
+
"learning_rate": 8.932963451306054e-05,
|
| 1821 |
+
"loss": 1.137,
|
| 1822 |
+
"step": 259
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.2159468438538206,
|
| 1826 |
+
"grad_norm": 0.38327541947364807,
|
| 1827 |
+
"learning_rate": 8.924860526401597e-05,
|
| 1828 |
+
"loss": 1.0355,
|
| 1829 |
+
"step": 260
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.21677740863787376,
|
| 1833 |
+
"grad_norm": 0.43055954575538635,
|
| 1834 |
+
"learning_rate": 8.916730656052219e-05,
|
| 1835 |
+
"loss": 1.2281,
|
| 1836 |
+
"step": 261
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.21760797342192692,
|
| 1840 |
+
"grad_norm": 0.4079986810684204,
|
| 1841 |
+
"learning_rate": 8.908573896072127e-05,
|
| 1842 |
+
"loss": 1.2033,
|
| 1843 |
+
"step": 262
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.21843853820598005,
|
| 1847 |
+
"grad_norm": 0.37261778116226196,
|
| 1848 |
+
"learning_rate": 8.900390302460133e-05,
|
| 1849 |
+
"loss": 1.0352,
|
| 1850 |
+
"step": 263
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.21926910299003322,
|
| 1854 |
+
"grad_norm": 0.3851580023765564,
|
| 1855 |
+
"learning_rate": 8.89217993139927e-05,
|
| 1856 |
+
"loss": 0.8673,
|
| 1857 |
+
"step": 264
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.22009966777408638,
|
| 1861 |
+
"grad_norm": 0.34604310989379883,
|
| 1862 |
+
"learning_rate": 8.883942839256408e-05,
|
| 1863 |
+
"loss": 1.0228,
|
| 1864 |
+
"step": 265
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.22093023255813954,
|
| 1868 |
+
"grad_norm": 0.3763490915298462,
|
| 1869 |
+
"learning_rate": 8.875679082581864e-05,
|
| 1870 |
+
"loss": 1.0876,
|
| 1871 |
+
"step": 266
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 0.2217607973421927,
|
| 1875 |
+
"grad_norm": 0.36711278557777405,
|
| 1876 |
+
"learning_rate": 8.867388718109017e-05,
|
| 1877 |
+
"loss": 0.8726,
|
| 1878 |
+
"step": 267
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 0.22259136212624583,
|
| 1882 |
+
"grad_norm": 0.4267362654209137,
|
| 1883 |
+
"learning_rate": 8.85907180275392e-05,
|
| 1884 |
+
"loss": 1.1414,
|
| 1885 |
+
"step": 268
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.223421926910299,
|
| 1889 |
+
"grad_norm": 0.3837275505065918,
|
| 1890 |
+
"learning_rate": 8.850728393614902e-05,
|
| 1891 |
+
"loss": 1.1207,
|
| 1892 |
+
"step": 269
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 0.22425249169435216,
|
| 1896 |
+
"grad_norm": 0.565284013748169,
|
| 1897 |
+
"learning_rate": 8.842358547972182e-05,
|
| 1898 |
+
"loss": 1.1005,
|
| 1899 |
+
"step": 270
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.22508305647840532,
|
| 1903 |
+
"grad_norm": 0.4408017098903656,
|
| 1904 |
+
"learning_rate": 8.833962323287477e-05,
|
| 1905 |
+
"loss": 1.2285,
|
| 1906 |
+
"step": 271
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.22591362126245848,
|
| 1910 |
+
"grad_norm": 0.43408262729644775,
|
| 1911 |
+
"learning_rate": 8.825539777203597e-05,
|
| 1912 |
+
"loss": 1.1743,
|
| 1913 |
+
"step": 272
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.22674418604651161,
|
| 1917 |
+
"grad_norm": 0.4070535898208618,
|
| 1918 |
+
"learning_rate": 8.817090967544068e-05,
|
| 1919 |
+
"loss": 1.011,
|
| 1920 |
+
"step": 273
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 0.22757475083056478,
|
| 1924 |
+
"grad_norm": 0.3787945508956909,
|
| 1925 |
+
"learning_rate": 8.808615952312713e-05,
|
| 1926 |
+
"loss": 0.7711,
|
| 1927 |
+
"step": 274
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 0.22840531561461794,
|
| 1931 |
+
"grad_norm": 0.4361870586872101,
|
| 1932 |
+
"learning_rate": 8.800114789693272e-05,
|
| 1933 |
+
"loss": 1.2295,
|
| 1934 |
+
"step": 275
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 0.2292358803986711,
|
| 1938 |
+
"grad_norm": 0.4080670475959778,
|
| 1939 |
+
"learning_rate": 8.791587538048995e-05,
|
| 1940 |
+
"loss": 1.079,
|
| 1941 |
+
"step": 276
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.23006644518272426,
|
| 1945 |
+
"grad_norm": 0.47581762075424194,
|
| 1946 |
+
"learning_rate": 8.783034255922238e-05,
|
| 1947 |
+
"loss": 1.0537,
|
| 1948 |
+
"step": 277
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 0.23089700996677742,
|
| 1952 |
+
"grad_norm": 0.45319613814353943,
|
| 1953 |
+
"learning_rate": 8.774455002034065e-05,
|
| 1954 |
+
"loss": 1.0404,
|
| 1955 |
+
"step": 278
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 0.23172757475083056,
|
| 1959 |
+
"grad_norm": 0.44119247794151306,
|
| 1960 |
+
"learning_rate": 8.765849835283851e-05,
|
| 1961 |
+
"loss": 1.2897,
|
| 1962 |
+
"step": 279
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.23255813953488372,
|
| 1966 |
+
"grad_norm": 0.4381905496120453,
|
| 1967 |
+
"learning_rate": 8.75721881474886e-05,
|
| 1968 |
+
"loss": 0.9729,
|
| 1969 |
+
"step": 280
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 0.23338870431893688,
|
| 1973 |
+
"grad_norm": 0.5231764912605286,
|
| 1974 |
+
"learning_rate": 8.748561999683863e-05,
|
| 1975 |
+
"loss": 1.1786,
|
| 1976 |
+
"step": 281
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 0.23421926910299004,
|
| 1980 |
+
"grad_norm": 0.41278812289237976,
|
| 1981 |
+
"learning_rate": 8.73987944952071e-05,
|
| 1982 |
+
"loss": 0.931,
|
| 1983 |
+
"step": 282
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.2350498338870432,
|
| 1987 |
+
"grad_norm": 0.4239978492259979,
|
| 1988 |
+
"learning_rate": 8.731171223867933e-05,
|
| 1989 |
+
"loss": 0.9321,
|
| 1990 |
+
"step": 283
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 0.23588039867109634,
|
| 1994 |
+
"grad_norm": 0.4771064221858978,
|
| 1995 |
+
"learning_rate": 8.722437382510338e-05,
|
| 1996 |
+
"loss": 1.0391,
|
| 1997 |
+
"step": 284
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.2367109634551495,
|
| 2001 |
+
"grad_norm": 0.44685253500938416,
|
| 2002 |
+
"learning_rate": 8.713677985408586e-05,
|
| 2003 |
+
"loss": 0.9824,
|
| 2004 |
+
"step": 285
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.23754152823920266,
|
| 2008 |
+
"grad_norm": 0.5926410555839539,
|
| 2009 |
+
"learning_rate": 8.704893092698789e-05,
|
| 2010 |
+
"loss": 1.3864,
|
| 2011 |
+
"step": 286
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.23837209302325582,
|
| 2015 |
+
"grad_norm": 0.5668107271194458,
|
| 2016 |
+
"learning_rate": 8.696082764692098e-05,
|
| 2017 |
+
"loss": 0.9881,
|
| 2018 |
+
"step": 287
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.23920265780730898,
|
| 2022 |
+
"grad_norm": 0.7727207541465759,
|
| 2023 |
+
"learning_rate": 8.687247061874278e-05,
|
| 2024 |
+
"loss": 1.1828,
|
| 2025 |
+
"step": 288
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.24003322259136212,
|
| 2029 |
+
"grad_norm": 0.6139202117919922,
|
| 2030 |
+
"learning_rate": 8.678386044905307e-05,
|
| 2031 |
+
"loss": 0.9222,
|
| 2032 |
+
"step": 289
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.24086378737541528,
|
| 2036 |
+
"grad_norm": 0.6973094940185547,
|
| 2037 |
+
"learning_rate": 8.66949977461895e-05,
|
| 2038 |
+
"loss": 1.1469,
|
| 2039 |
+
"step": 290
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.24169435215946844,
|
| 2043 |
+
"grad_norm": 0.7914962768554688,
|
| 2044 |
+
"learning_rate": 8.660588312022344e-05,
|
| 2045 |
+
"loss": 1.2579,
|
| 2046 |
+
"step": 291
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.2425249169435216,
|
| 2050 |
+
"grad_norm": 1.2225151062011719,
|
| 2051 |
+
"learning_rate": 8.651651718295581e-05,
|
| 2052 |
+
"loss": 1.1992,
|
| 2053 |
+
"step": 292
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.24335548172757476,
|
| 2057 |
+
"grad_norm": 1.5263748168945312,
|
| 2058 |
+
"learning_rate": 8.642690054791285e-05,
|
| 2059 |
+
"loss": 0.8268,
|
| 2060 |
+
"step": 293
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.2441860465116279,
|
| 2064 |
+
"grad_norm": 1.1765741109848022,
|
| 2065 |
+
"learning_rate": 8.633703383034193e-05,
|
| 2066 |
+
"loss": 1.083,
|
| 2067 |
+
"step": 294
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.24501661129568106,
|
| 2071 |
+
"grad_norm": 0.7610678672790527,
|
| 2072 |
+
"learning_rate": 8.624691764720731e-05,
|
| 2073 |
+
"loss": 1.6292,
|
| 2074 |
+
"step": 295
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.24584717607973422,
|
| 2078 |
+
"grad_norm": 0.7405883073806763,
|
| 2079 |
+
"learning_rate": 8.615655261718592e-05,
|
| 2080 |
+
"loss": 1.4353,
|
| 2081 |
+
"step": 296
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.24667774086378738,
|
| 2085 |
+
"grad_norm": 0.6407126784324646,
|
| 2086 |
+
"learning_rate": 8.606593936066309e-05,
|
| 2087 |
+
"loss": 1.377,
|
| 2088 |
+
"step": 297
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.24750830564784054,
|
| 2092 |
+
"grad_norm": 0.6730480790138245,
|
| 2093 |
+
"learning_rate": 8.597507849972834e-05,
|
| 2094 |
+
"loss": 1.6916,
|
| 2095 |
+
"step": 298
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.24833887043189368,
|
| 2099 |
+
"grad_norm": 0.7083413004875183,
|
| 2100 |
+
"learning_rate": 8.588397065817105e-05,
|
| 2101 |
+
"loss": 1.5759,
|
| 2102 |
+
"step": 299
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.24916943521594684,
|
| 2106 |
+
"grad_norm": 0.7241659760475159,
|
| 2107 |
+
"learning_rate": 8.579261646147618e-05,
|
| 2108 |
+
"loss": 1.6857,
|
| 2109 |
+
"step": 300
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.25,
|
| 2113 |
+
"grad_norm": 0.41130688786506653,
|
| 2114 |
+
"learning_rate": 8.570101653682006e-05,
|
| 2115 |
+
"loss": 1.3919,
|
| 2116 |
+
"step": 301
|
| 2117 |
+
}
|
| 2118 |
+
],
|
| 2119 |
+
"logging_steps": 1,
|
| 2120 |
+
"max_steps": 1204,
|
| 2121 |
+
"num_input_tokens_seen": 0,
|
| 2122 |
+
"num_train_epochs": 1,
|
| 2123 |
+
"save_steps": 301,
|
| 2124 |
+
"stateful_callbacks": {
|
| 2125 |
+
"TrainerControl": {
|
| 2126 |
+
"args": {
|
| 2127 |
+
"should_epoch_stop": false,
|
| 2128 |
+
"should_evaluate": false,
|
| 2129 |
+
"should_log": false,
|
| 2130 |
+
"should_save": true,
|
| 2131 |
+
"should_training_stop": false
|
| 2132 |
+
},
|
| 2133 |
+
"attributes": {}
|
| 2134 |
+
}
|
| 2135 |
+
},
|
| 2136 |
+
"total_flos": 3.680973287011123e+17,
|
| 2137 |
+
"train_batch_size": 4,
|
| 2138 |
+
"trial_name": null,
|
| 2139 |
+
"trial_params": null
|
| 2140 |
+
}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be1a8b5f89f7ad2001ed041a9d6f34c27a8af31f38ccc3f17727a9e4b1bf84df
|
| 3 |
+
size 6776
|