llama-7b-chat-100k_50_50
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
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: 2200
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4400
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
Framework versions
- Transformers 4.33.3
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.13.3
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
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The model has no library tag.
Model tree for Niyantha23M/llama-7b-chat-100k_50_50
Base model
meta-llama/Llama-2-7b-chat-hf