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---
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base_model: Qwen/Qwen2.5-0.5B-Instruct
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datasets:
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- generator
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: trained_model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# trained_model |
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5432 |
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- Bertscore Precision: 0.9305 |
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- Bertscore Recall: 0.9338 |
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- Bertscore F1: 0.9321 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bertscore Precision | Bertscore Recall | Bertscore F1 | |
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|:-------------:|:------:|:----:|:---------------:|:-------------------:|:----------------:|:------------:| |
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| No log | 0.9664 | 18 | 1.1003 | 0.8802 | 0.8897 | 0.8849 | |
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| 1.7123 | 1.9866 | 37 | 0.6787 | 0.9207 | 0.9228 | 0.9218 | |
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| 1.7123 | 2.9530 | 55 | 0.5895 | 0.9300 | 0.9330 | 0.9315 | |
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| 0.5828 | 3.9732 | 74 | 0.5516 | 0.9330 | 0.9355 | 0.9342 | |
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| 0.4501 | 4.8322 | 90 | 0.5432 | 0.9305 | 0.9338 | 0.9321 | |
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### Framework versions |
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- PEFT 0.13.0 |
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- Transformers 4.45.1 |
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- Pytorch 2.5.1+cpu |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
