Commit
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Parent(s):
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Training in progress, step 1000
Browse files- .ipynb_checkpoints/README-checkpoint.md +55 -0
- all_results.json +7 -0
- pytorch_model.bin +1 -1
- runs/Dec19_01-39-25_129-213-131-86/1671413978.0873578/events.out.tfevents.1671413978.129-213-131-86.78497.1 +3 -0
- runs/Dec19_01-39-25_129-213-131-86/events.out.tfevents.1671413978.129-213-131-86.78497.0 +3 -0
- train_results.json +7 -0
- trainer_state.json +265 -0
- training_args.bin +1 -1
.ipynb_checkpoints/README-checkpoint.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- fleurs
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model-index:
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- name: whisper-small-amet
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# whisper-small-amet
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the fleurs dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 64
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 1000
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.1+cu117
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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all_results.json
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"train_samples_per_second": 14.789,
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"train_steps_per_second": 0.231
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}
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pytorch_model.bin
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train_results.json
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training_args.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 3643
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version https://git-lfs.github.com/spec/v1
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