togetherchat-dev-7b
This model is a fine-tuned version of togethercomputer/LLaMA-2-7B-32K using 5000 examples and 3 datasets:
platypus_dataset = load_dataset("garage-bAInd/Open-Platypus") codealpaca_dataset = load_dataset("sahil2801/CodeAlpaca-20k") evol_codealpaca_dataset = load_dataset("theblackcat102/evol-codealpaca-v1")
Model description
Step Training Loss
60 1.293000
120 0.673600
180 0.633200
240 0.611600
300 0.633000
360 0.589500
480 0.587600
540 0.569000
600 0.548700
660 0.553100
720 0.531500
780 0.506400
840 0.512500
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: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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