71 lines
1.7 KiB
Markdown
71 lines
1.7 KiB
Markdown
---
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library_name: transformers
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license: other
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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: sft
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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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# sft
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This model is a fine-tuned version of the local competition base model on the kuaishou_seed_train dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7658
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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: 1e-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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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- total_eval_batch_size: 4
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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_steps: 0.03
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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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| 1.1814 | 0.5185 | 500 | 1.2199 |
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| 0.9387 | 1.0363 | 1000 | 1.0034 |
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| 0.7721 | 1.5548 | 1500 | 0.8802 |
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| 0.5989 | 2.0726 | 2000 | 0.8023 |
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| 0.5697 | 2.5911 | 2500 | 0.7709 |
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| 0.6001 | 3.0 | 2895 | 0.7658 |
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### Framework versions
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- Transformers 5.6.0
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- Pytorch 2.6.0+cu124
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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