codeparrot-ds
This model is a fine-tuned version of TheBloke/Llama-2-7b-Chat-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7460
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: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 8
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.7475 | 0.9984 | 312 | 0.7460 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for SahilCarterr/codeparrot-ds
Base model
meta-llama/Llama-2-7b-chat-hf
Quantized
TheBloke/Llama-2-7B-Chat-GPTQ