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mistral_instruct_generation

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greatakela/mistral-instruct-generation

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Files changed (5) hide show
  1. README.md +13 -7
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. runs/Nov27_04-30-59_cece61c58921/events.out.tfevents.1701059468.cece61c58921.9580.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,12 +15,7 @@ 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-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 1.0472
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- - eval_runtime: 4.2822
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- - eval_samples_per_second: 79.399
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- - eval_steps_per_second: 10.042
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- - epoch: 0.62
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- - step: 300
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  ## Model description
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@@ -46,7 +41,18 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant
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  - lr_scheduler_warmup_steps: 0.03
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- - training_steps: 500
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8964
 
 
 
 
 
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant
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  - lr_scheduler_warmup_steps: 0.03
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+ - training_steps: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.0642 | 0.04 | 20 | 1.0248 |
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+ | 0.933 | 0.08 | 40 | 0.9471 |
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+ | 0.8818 | 0.12 | 60 | 0.9138 |
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+ | 0.8526 | 0.17 | 80 | 0.9003 |
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+ | 0.7592 | 0.21 | 100 | 0.8964 |
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+
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  ### Framework versions
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adapter_config.json CHANGED
@@ -16,8 +16,8 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "q_proj",
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- "v_proj"
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  ],
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  "task_type": "CAUSAL_LM"
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  }
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "v_proj",
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+ "q_proj"
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  ],
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  "task_type": "CAUSAL_LM"
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  }
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