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llama-sft-output
This model is a fine-tuned version of EleutherAI/pythia-1.4b-deduped on an unknown 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 20
- training_steps: 1000
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.14.5
- Tokenizers 0.19.1
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Model tree for isabelarvelo/llama-sft-output
Base model
EleutherAI/pythia-1.4b-deduped