readme: ---
  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
  