Model save
Browse files- README.md +7 -8
- adapter_model.safetensors +1 -1
- all_results.json +7 -12
- runs/May25_02-29-05_5c31577a2818/events.out.tfevents.1716604156.5c31577a2818.18685.0 +2 -2
- train_results.json +7 -7
- trainer_state.json +153 -1028
README.md
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license: apache-2.0
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library_name: peft
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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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base_model: mistralai/Mistral-7B-Instruct-v0.2
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datasets:
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-
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model-index:
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- name: zilo-instruct-v2-sft-qlora
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results: []
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# zilo-instruct-v2-sft-qlora
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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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: 4
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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license: apache-2.0
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library_name: peft
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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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base_model: mistralai/Mistral-7B-Instruct-v0.2
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datasets:
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+
- generator
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model-index:
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- name: zilo-instruct-v2-sft-qlora
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results: []
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# zilo-instruct-v2-sft-qlora
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+
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6246
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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: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7588 | 0.9899 | 49 | 0.7386 |
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| 0.6201 | 2.0 | 99 | 0.6307 |
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| 0.6087 | 2.9697 | 147 | 0.6246 |
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### Framework versions
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adapter_model.safetensors
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| 244 |
},
|
| 245 |
{
|
| 246 |
+
"epoch": 2.9696969696969697,
|
| 247 |
+
"step": 147,
|
| 248 |
+
"total_flos": 2.0566538541072384e+17,
|
| 249 |
+
"train_loss": 0.7671454966473742,
|
| 250 |
+
"train_runtime": 1686.4021,
|
| 251 |
+
"train_samples_per_second": 0.699,
|
| 252 |
+
"train_steps_per_second": 0.087
|
| 253 |
}
|
| 254 |
],
|
| 255 |
"logging_steps": 5,
|
| 256 |
+
"max_steps": 147,
|
| 257 |
"num_input_tokens_seen": 0,
|
| 258 |
"num_train_epochs": 3,
|
| 259 |
"save_steps": 100,
|
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|
| 269 |
"attributes": {}
|
| 270 |
}
|
| 271 |
},
|
| 272 |
+
"total_flos": 2.0566538541072384e+17,
|
| 273 |
"train_batch_size": 4,
|
| 274 |
"trial_name": null,
|
| 275 |
"trial_params": null
|