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opt-350m-finetuned-v4-seinfeld

This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4775

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: 0.0005
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.8604 0.79 8 2.7539
2.8058 1.59 16 2.6860
2.7427 2.4 24 2.6338
2.6593 3.2 32 2.5925
2.5373 3.99 40 2.5601
2.4923 4.79 48 2.5370
2.4102 5.59 56 2.5216
2.3373 6.4 64 2.5049
2.2341 7.2 72 2.4963
2.1286 7.99 80 2.4862
2.0673 8.79 88 2.4908
1.9938 9.59 96 2.4881
1.9015 10.4 104 2.4854
1.8172 11.2 112 2.5058
1.7113 11.99 120 2.4950
1.6409 12.79 128 2.5082
1.5622 13.59 136 2.5172
1.4724 14.4 144 2.5464

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.0
  • Tokenizers 0.13.2
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