readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  - text-generation
  - opt
  - non-commercial
  
  inference: False
  ---
  
  # OPT-Peter-1.3B-1E
  
  > This is an initial checkpoint of the model - the latest version is [here](https://huggingface.co/pszemraj/opt-peter-1.3B)
  
  This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on text message data (mine) for 1.6 epochs.
  
  It achieves the following results on the evaluation set (at the end of epoch 1):
  
  - eval_loss: 3.3595
  - eval_runtime: 988.6985
  - eval_samples_per_second: 8.803
  - eval_steps_per_second: 2.201
  - epoch: 1.0
  - step: 1235
  
  ## 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: 6e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - distributed_type: multi-GPU
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.01
  - num_epochs: 1.6
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  