sahlebrahim commited on
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End of training

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README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4336
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  ## Model description
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@@ -53,17 +53,17 @@ 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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- | 0.4743 | 0.2 | 100 | 0.4544 |
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- | 0.4208 | 0.4 | 200 | 0.4448 |
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- | 0.3752 | 0.6 | 300 | 0.4365 |
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- | 0.4077 | 0.8 | 400 | 0.4404 |
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- | 0.3431 | 1.0 | 500 | 0.4336 |
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  ### Framework versions
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  - PEFT 0.12.0
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- - Transformers 4.43.2
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  - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4333
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.4735 | 0.2 | 100 | 0.4544 |
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+ | 0.4211 | 0.4 | 200 | 0.4448 |
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+ | 0.3734 | 0.6 | 300 | 0.4372 |
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+ | 0.4061 | 0.8 | 400 | 0.4404 |
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+ | 0.3425 | 1.0 | 500 | 0.4333 |
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  ### Framework versions
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  - PEFT 0.12.0
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+ - Transformers 4.43.3
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  - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
adapter_config.json CHANGED
@@ -21,12 +21,12 @@
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  "revision": null,
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  "target_modules": [
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  "self_attn.q_proj",
 
 
 
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  "self_attn.o_proj",
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  "mlp.up_proj",
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- "self_attn.v_proj",
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- "mlp.gate_proj",
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- "mlp.down_proj",
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- "self_attn.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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  "self_attn.q_proj",
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+ "self_attn.k_proj",
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  "self_attn.o_proj",
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  "mlp.up_proj",
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+ "self_attn.v_proj"
 
 
 
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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