agrobot-llama2-ft
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: nan
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6139.9749 | 0.99 | 102 | nan |
| 906.7905 | 2.0 | 205 | nan |
| 7469.7591 | 3.0 | 308 | nan |
| 4521.9417 | 4.0 | 411 | nan |
| 10357.8309 | 4.99 | 513 | nan |
| 2193.7805 | 6.0 | 616 | nan |
| 415.3014 | 7.0 | 719 | nan |
| 5163.8981 | 8.0 | 822 | nan |
| 10537.2745 | 8.99 | 924 | nan |
| 1091.5675 | 9.93 | 1020 | nan |
Framework versions
- PEFT 0.11.1
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for IbtiHt/agrobot-llama2-ft
Base model
meta-llama/Llama-2-7b-chat-hf
Quantized
TheBloke/Llama-2-7B-Chat-GPTQ