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LlaMa_3.1_8B

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Pragades/LlaMa_3.1_8Billion_instruct(FollowUp Questioner)

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Files changed (4) hide show
  1. README.md +13 -7
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. training_args.bin +1 -1
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-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7330
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  ## Model description
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@@ -44,23 +44,29 @@ 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: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - training_steps: 200
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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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- | 1.9638 | 0.0220 | 50 | 0.9688 |
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- | 0.8433 | 0.0440 | 100 | 0.7759 |
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- | 0.7632 | 0.0659 | 150 | 0.7478 |
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- | 0.7461 | 0.0879 | 200 | 0.7330 |
 
 
 
 
 
 
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  ### Framework versions
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  - PEFT 0.12.0
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  - Transformers 4.44.2
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- - Pytorch 2.4.0+cu121
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  - Datasets 3.0.0
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6314
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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: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 1000
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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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+ | 1.0074 | 0.0440 | 100 | 0.8141 |
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+ | 0.7582 | 0.0879 | 200 | 0.7417 |
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+ | 0.7663 | 0.1319 | 300 | 0.7115 |
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+ | 0.6939 | 0.1758 | 400 | 0.6899 |
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+ | 0.6787 | 0.2198 | 500 | 0.6792 |
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+ | 0.6553 | 0.2637 | 600 | 0.6664 |
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+ | 0.6747 | 0.3077 | 700 | 0.6535 |
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+ | 0.6614 | 0.3516 | 800 | 0.6404 |
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+ | 0.6343 | 0.3956 | 900 | 0.6343 |
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+ | 0.6264 | 0.4396 | 1000 | 0.6314 |
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  ### Framework versions
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  - PEFT 0.12.0
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  - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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  - Datasets 3.0.0
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  - Tokenizers 0.19.1
adapter_config.json CHANGED
@@ -21,11 +21,11 @@
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  "revision": null,
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  "target_modules": [
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  "k_proj",
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- "down_proj",
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  "q_proj",
 
 
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  "up_proj",
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  "o_proj",
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- "gate_proj",
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  "v_proj"
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  ],
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  "task_type": "CAUSAL_LM",
 
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  "revision": null,
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  "target_modules": [
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  "k_proj",
 
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  "q_proj",
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+ "gate_proj",
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+ "down_proj",
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  "up_proj",
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  "o_proj",
 
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  "v_proj"
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  ],
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  "task_type": "CAUSAL_LM",
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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training_args.bin CHANGED
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