pytorch tensorboard onnx gpt_neo text-generation transformers generated_from_trainer license:apache-2.0 model-index
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: gpt-neo-therapist-small
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gpt-neo-therapist-small

This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.6731
- Rouge1: 39.5028
- Rouge2: 6.43
- Rougel: 24.0091
- Rougelsum: 35.4481
- Gen Len: 204.1329

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 24
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:--------:|
| 9.9955        | 0.97  | 7    | 6.8195          | 18.6047 | 1.0194 | 14.8565 | 17.9774   | 212.0983 |
| 6.9729        | 1.97  | 14   | 5.6783          | 26.3789 | 3.0779 | 18.5195 | 24.8592   | 203.0925 |
| 5.2614        | 2.97  | 21   | 5.0506          | 34.9428 | 4.921  | 21.9741 | 32.1122   | 206.2775 |
| 5.0599        | 3.97  | 28   | 4.7372          | 38.5235 | 6.2251 | 23.5923 | 34.5633   | 204.2428 |
| 4.5479        | 4.97  | 35   | 4.6731          | 39.5028 | 6.43   | 24.0091 | 35.4481   | 204.1329 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
