68 lines
1.6 KiB
Markdown
68 lines
1.6 KiB
Markdown
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---
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library_name: transformers
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license: other
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base_model: Qwen2.5-14B-Instruct
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: Qwen2.5-14B-Instruct-critic_lean_mix_48k
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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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# Qwen2.5-14B-Instruct-critic_lean_mix_48k
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This model is a fine-tuned version of [Qwen2.5-14B-Instruct](https://huggingface.co/Qwen2.5-14B-Instruct) on the critic_lean_mix_48k dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2970
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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: 5e-06
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- train_batch_size: 2
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 16
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- total_train_batch_size: 32
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- total_eval_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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.348 | 1.0 | 1485 | 0.2822 |
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| 0.2655 | 2.0 | 2970 | 0.2750 |
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| 0.1382 | 3.0 | 4455 | 0.2970 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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