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couragestrong/tiai-pinch-v2-lora

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README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0318
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  ## Model description
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@@ -35,32 +35,32 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-05
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  - train_batch_size: 1
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  - eval_batch_size: 1
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  - seed: 42
 
 
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  - optimizer: Use 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: constant_with_warmup
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- - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 2
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 3.7136 | 0.2031 | 13 | 3.0882 |
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- | 0.8226 | 0.4062 | 26 | 0.7761 |
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- | 0.0114 | 0.6094 | 39 | 0.0543 |
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- | 0.007 | 0.8125 | 52 | 0.0289 |
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- | 0.0009 | 1.0156 | 65 | 0.0236 |
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- | 0.152 | 1.2188 | 78 | 0.0162 |
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- | 0.0003 | 1.4219 | 91 | 0.0318 |
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  ### Framework versions
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  - PEFT 0.14.0
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- - Transformers 4.48.0.dev0
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  - Pytorch 2.1.1+cu121
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
 
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  This model is a fine-tuned version of [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0260
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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  - train_batch_size: 1
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  - eval_batch_size: 1
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  - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 2
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  - optimizer: Use 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: constant_with_warmup
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+ - lr_scheduler_warmup_ratio: 0.15
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+ - num_epochs: 5
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.2117 | 1.0 | 32 | 0.8225 |
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+ | 0.0004 | 2.0 | 64 | 0.0426 |
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+ | 0.0035 | 3.0 | 96 | 0.0165 |
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+ | 0.0001 | 4.0 | 128 | 0.0416 |
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+ | 0.0059 | 5.0 | 160 | 0.0260 |
 
 
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  ### Framework versions
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  - PEFT 0.14.0
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+ - Transformers 4.49.0.dev0
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  - Pytorch 2.1.1+cu121
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
adapter_config.json CHANGED
@@ -23,10 +23,10 @@
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  "rank_pattern": {},
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  "target_modules": [
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- "q_proj",
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- "v_proj",
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  "o_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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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
 
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  "o_proj",
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+ "k_proj",
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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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  "use_dora": false,
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