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---
license: llama2
base_model: togethercomputer/LLaMA-2-7B-32K
tags:
- generated_from_trainer
model-index:
- name: togetherchat-dev-7b
results: []
---
# togetherchat-dev-7b
This model is a fine-tuned version of [togethercomputer/LLaMA-2-7B-32K](https://huggingface.co/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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