aviroes's picture
End of training
f21125b
metadata
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
model-index:
  - name: MAScIR_elderly_whisper-medium-LoRA-ev
    results: []

MAScIR_elderly_whisper-medium-LoRA-ev

This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0213

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: 0.001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 200
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.3194 0.19 100 0.2974
0.2485 0.37 200 0.2865
0.2532 0.56 300 0.2810
0.2306 0.74 400 0.2225
0.1954 0.93 500 0.2355
0.1178 1.11 600 0.1883
0.1087 1.3 700 0.1567
0.098 1.48 800 0.1593
0.0661 1.67 900 0.0985
0.0675 1.85 1000 0.0602
0.0297 2.04 1100 0.0543
0.0172 2.22 1200 0.0436
0.0157 2.41 1300 0.0403
0.0143 2.59 1400 0.0317
0.0167 2.78 1500 0.0265
0.0095 2.96 1600 0.0213

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3