gpt2-wikitext2
This model is a fine-tuned version of TheBloke/Llama-2-7b-Chat-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.2056
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 19 | 5.1782 |
| No log | 2.0 | 38 | 5.1994 |
| No log | 3.0 | 57 | 5.2056 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for tatoy/gpt2-wikitext2
Base model
meta-llama/Llama-2-7b-chat-hf Quantized
TheBloke/Llama-2-7B-Chat-GPTQ