transformers safetensors gpt_neox text-generation generated_from_trainer dataset:alpaca_farm base_model:EleutherAI/pythia-1.4b license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: EleutherAI/pythia-1.4b
tags:
- generated_from_trainer
datasets:
- alpaca_farm
model-index:
- name: pythia-1.4b_alpaca_farm_instructions_sft_constant_pa
  results: []
---

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# pythia-1.4b_alpaca_farm_instructions_sft_constant_pa

This model is a fine-tuned version of [EleutherAI/pythia-1.4b](https://huggingface.co/EleutherAI/pythia-1.4b) on the alpaca_farm dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1513

## 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: 8e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.5967        | 1.0   | 2500  | 1.0668          |
| 1.0239        | 2.0   | 5000  | 0.5980          |
| 0.5893        | 3.0   | 7500  | 0.3444          |
| 0.3651        | 4.0   | 10000 | 0.2424          |
| 0.272         | 5.0   | 12500 | 0.2009          |
| 0.2294        | 6.0   | 15000 | 0.1792          |
| 0.2056        | 7.0   | 17500 | 0.1686          |
| 0.192         | 8.0   | 20000 | 0.1609          |
| 0.1841        | 9.0   | 22500 | 0.1551          |
| 0.1773        | 10.0  | 25000 | 0.1513          |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
