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mistral_instruct_generation_v2

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rafaeloc15/mistral-small-v4

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Files changed (5) hide show
  1. README.md +4 -4
  2. adapter_config.json +1 -0
  3. adapter_model.safetensors +1 -1
  4. runs/Apr21_22-55-26_07dc28601d23/events.out.tfevents.1713740164.07dc28601d23.675.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0237
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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- - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0373 | 1.0 | 110 | 0.0274 |
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- | 0.0302 | 2.0 | 220 | 0.0237 |
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  ### Framework versions
 
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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: 0.0259
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0434 | 1.0 | 226 | 0.0348 |
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+ | 0.0337 | 2.0 | 452 | 0.0259 |
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  ### Framework versions
adapter_config.json CHANGED
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  "init_lora_weights": true,
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  "loftq_config": {},
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