Model save
Browse files- README.md +77 -0
- generation_config.json +12 -0
README.md
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---
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library_name: transformers
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license: llama3
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: all_tasks_combined_8b_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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# all_tasks_combined_8b_sft
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0667
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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: 2
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- eval_batch_size: 2
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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: 2
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- total_train_batch_size: 16
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- total_eval_batch_size: 8
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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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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7504 | 0.7463 | 50 | 0.7051 |
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| 0.6328 | 1.4925 | 100 | 0.6948 |
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| 0.2823 | 2.2388 | 150 | 0.8329 |
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| 0.3349 | 2.9851 | 200 | 0.8282 |
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| 0.2069 | 3.7313 | 250 | 0.7403 |
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| 0.0942 | 4.4776 | 300 | 0.8360 |
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| 0.0553 | 5.2239 | 350 | 0.8743 |
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| 0.0774 | 5.9701 | 400 | 0.8344 |
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| 0.0352 | 6.7164 | 450 | 0.9773 |
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| 0.0176 | 7.4627 | 500 | 0.9961 |
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| 0.0083 | 8.2090 | 550 | 1.0166 |
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| 0.0075 | 8.9552 | 600 | 1.0438 |
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| 0.0028 | 9.7015 | 650 | 1.0667 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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generation_config.json
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{
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": [
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128001,
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128009
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],
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"max_length": 4096,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.49.0"
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}
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