---
license: llama2
base_model: togethercomputer/LLaMA-2-7B-32K
tags:
- generated_from_trainer
model-index:
- name: togetherchat-dev-7b-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# togetherchat-dev-7b-v2

This model is a fine-tuned version of [togethercomputer/LLaMA-2-7B-32K](https://huggingface.co/togethercomputer/LLaMA-2-7B-32K) on 25000 entries for 3 epochs.

## Model description

Model can be used for text-to-code generation and for further fine-tuning,
Colab notebook example (on free T4 GPU) soon!

## Datasets used:

- evol-codealpaca-80k - 10000 entries
- codealpaca-20k - 10000 entries
- open-platypus - 5000 entries

## Intended uses & limitations

Please remember that model may (and will) produce inaccurate informations, 
you need to fine-tune it for your specific task.

## Training and evaluation data

See 'Metrics'

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 10
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- 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