Model save
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- model.safetensors +1 -1
README.md
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@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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## Model description
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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:
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- eval_batch_size:
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size:
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- total_eval_batch_size:
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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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- lr_scheduler_warmup_ratio: 0.1
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
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| No log | 0 | 0 |
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| 0.
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### Framework versions
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1188
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- F1: 0.9551
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- Accuracy: 0.9568
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- Precision: 0.9539
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- Recall: 0.9568
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## Model description
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 128
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- total_eval_batch_size: 128
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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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- lr_scheduler_warmup_ratio: 0.1
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
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| No log | 0 | 0 | 3.7079 | 0.4868 | 0.3651 | 0.8738 | 0.3651 |
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| 0.1046 | 1.0 | 8816 | 0.1006 | 0.9536 | 0.9576 | 0.9526 | 0.9576 |
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| 0.0733 | 2.0 | 17632 | 0.1023 | 0.9558 | 0.9581 | 0.9545 | 0.9581 |
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| 0.0583 | 3.0 | 26448 | 0.1188 | 0.9551 | 0.9568 | 0.9539 | 0.9568 |
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### Framework versions
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model.safetensors
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size 988106872
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version https://git-lfs.github.com/spec/v1
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size 988106872
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