distil-bert-final-version
This model is a fine-tuned version of pilotj/distilbert-base-uncased-fibe-full-finetuned on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4621
- eval_runtime: 244.5245
- eval_samples_per_second: 106.946
- eval_steps_per_second: 0.838
- epoch: 0.4331
- step: 9000
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: 8e-05
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 1
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
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