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rajtest/Llama_v4_update_senti

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README.md CHANGED
@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [unsloth/llama-2-7b-bnb-4bit](https://huggingface.co/unsloth/llama-2-7b-bnb-4bit) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5419
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  ## Model description
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@@ -47,16 +47,14 @@ 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: cosine
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  - lr_scheduler_warmup_ratio: 0.03
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- - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.5118 | 0.9981 | 262 | 0.5076 |
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- | 0.4495 | 2.0 | 525 | 0.5086 |
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- | 0.3469 | 2.9943 | 786 | 0.5419 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [unsloth/llama-2-7b-bnb-4bit](https://huggingface.co/unsloth/llama-2-7b-bnb-4bit) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4471
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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: cosine
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  - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 1
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.4447 | 0.9981 | 262 | 0.4471 |
 
 
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  ### Framework versions
adapter_config.json CHANGED
@@ -21,12 +21,12 @@
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  "revision": null,
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  "target_modules": [
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  "down_proj",
 
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  "q_proj",
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- "up_proj",
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  "gate_proj",
 
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  "o_proj",
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- "v_proj",
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- "k_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "revision": null,
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  "target_modules": [
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  "down_proj",
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+ "k_proj",
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  "q_proj",
 
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  "gate_proj",
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+ "up_proj",
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  "o_proj",
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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