llama2-chat_30000_500
This model is a fine-tuned version of unsloth/llama-2-7b-chat-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.9608
- eval_runtime: 160.5428
- eval_samples_per_second: 5.606
- eval_steps_per_second: 1.401
- epoch: 1.2
- step: 564
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 4
- seed: 3407
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2
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Model tree for Angelectronic/llama2-chat_30000_500
Base model
unsloth/llama-2-7b-chat-bnb-4bit