Model save
Browse files- README.md +7 -11
- all_results.json +5 -10
- config.json +1 -1
- model-00001-of-00006.safetensors +1 -1
- model-00002-of-00006.safetensors +1 -1
- model-00003-of-00006.safetensors +1 -1
- model-00004-of-00006.safetensors +1 -1
- model-00005-of-00006.safetensors +1 -1
- model-00006-of-00006.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +1207 -185
- training_args.bin +2 -2
README.md
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---
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base_model: OrionStarAI/Orion-14B-Chat
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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- trl
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- sft
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- generated_from_trainer
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datasets:
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-
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model-index:
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- name: rinko-test
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results: []
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# rinko-test
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This model is a fine-tuned version of [OrionStarAI/Orion-14B-Chat](https://huggingface.co/OrionStarAI/Orion-14B-Chat) on the
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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---
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base_model: OrionStarAI/Orion-14B-Chat
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: rinko-test
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results: []
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# rinko-test
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This model is a fine-tuned version of [OrionStarAI/Orion-14B-Chat](https://huggingface.co/OrionStarAI/Orion-14B-Chat) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1385
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.1777 | 1.0 | 305 | 1.1992 |
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| 1.1046 | 2.0 | 611 | 1.1458 |
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| 1.1129 | 3.0 | 915 | 1.1385 |
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### Framework versions
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all_results.json
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config.json
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"transformers_version": "4.38.2",
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},
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| 265 |
{
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| 266 |
-
"epoch":
|
| 267 |
-
"grad_norm": 1.
|
| 268 |
-
"learning_rate": 4.
|
| 269 |
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"loss":
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| 270 |
"step": 170
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| 271 |
},
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{
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-
"epoch":
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| 274 |
-
"grad_norm": 1.
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"learning_rate":
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| 276 |
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"loss":
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| 277 |
"step": 175
|
| 278 |
},
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| 279 |
{
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-
"epoch":
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| 281 |
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"grad_norm": 1.
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| 282 |
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"learning_rate":
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| 283 |
-
"loss":
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| 284 |
"step": 180
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},
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{
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"epoch":
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| 288 |
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"grad_norm": 1.
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| 289 |
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"learning_rate":
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| 290 |
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"loss":
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| 291 |
"step": 185
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},
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{
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"epoch":
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