pszemraj/opt-peter-1.3B
This model is a fine-tuned version of pszemraj/opt-peter-1.3B-1E on 80k Whatsapp/iMessages (mine).
It achieves the following results on the evaluation set, after training for 1 epoch (on top of the 1E checkpoint linked above):
- eval_loss: 3.4220
 - eval_runtime: 954.9678
 - eval_samples_per_second: 9.114
 - eval_steps_per_second: 2.279
 - epoch: 1.0
 - step: 1235
 
Model description
- Exploring to see how OPT does in terms of dialogue/conversational applications :)
 - Seems to do a lot better than GPT-Neo with similar training parameters
 
Intended uses & limitations
- OPT has a license that does not allow for commercial use, see original for details
 - any statements or claims made by this model do not reflect actual claims/statements by me
 
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-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: 2
 
Framework versions
- Transformers 4.19.2
 - Pytorch 1.11.0+cu113
 - Tokenizers 0.12.1
 
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