amhmt5-base-finetuned-amt5
This model is a fine-tuned version of Samuael/amt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3710
- eval_rouge1: 0.0
- eval_rouge2: 0.0
- eval_rougeL: 0.0
- eval_rougeLsum: 0.0
- eval_gen_len: 18.5905
- eval_wer: 0.6072
- eval_cer: 0.5393
- eval_runtime: 4.0504
- eval_samples_per_second: 88.633
- eval_steps_per_second: 1.481
- epoch: 4.0
- step: 5672
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: 0.0002
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for Samuael/amhmt5-base-finetuned-amt5
Base model
Samuael/amt5-base