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Fine-tuned smolLM2-135M with LoRA on camel-ai/physics

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README.md CHANGED
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # fine-tuned-smolLM2-135M-with-LoRA-on-camel-ai-physics
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- This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an camel-ai/physics dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0047
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  ## Model description
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@@ -40,16 +40,21 @@ The following hyperparameters were used during training:
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  - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 1.0162 | 1.0 | 4000 | 1.0420 |
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- | 1.0262 | 2.0 | 8000 | 1.0134 |
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- | 1.0067 | 3.0 | 12000 | 1.0047 |
 
 
 
 
 
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  ### Framework versions
 
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  # fine-tuned-smolLM2-135M-with-LoRA-on-camel-ai-physics
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+ This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9705
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  ## Model description
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  - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - num_epochs: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.0142 | 1.0 | 4000 | 1.0403 |
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+ | 1.0231 | 2.0 | 8000 | 1.0082 |
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+ | 0.9995 | 3.0 | 12000 | 0.9918 |
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+ | 0.9527 | 4.0 | 16000 | 0.9822 |
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+ | 0.9351 | 5.0 | 20000 | 0.9752 |
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+ | 0.9126 | 6.0 | 24000 | 0.9719 |
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+ | 0.9161 | 7.0 | 28000 | 0.9706 |
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+ | 0.9194 | 8.0 | 32000 | 0.9705 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -20,8 +20,8 @@
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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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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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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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  "use_dora": false,
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