Training in progress, step 12000
Browse files- .ipynb_checkpoints/README-checkpoint.md +54 -0
- config.json +3 -103
- pytorch_model.bin +1 -1
- runs/Dec08_12-16-35_150-136-44-59/1670501827.0281954/events.out.tfevents.1670501827.150-136-44-59.941284.1 +3 -0
- runs/Dec08_12-16-35_150-136-44-59/events.out.tfevents.1670501827.150-136-44-59.941284.0 +3 -0
- runs/Dec08_12-17-35_150-136-44-59/1670501864.225294/events.out.tfevents.1670501864.150-136-44-59.941284.3 +3 -0
- runs/Dec08_12-17-35_150-136-44-59/events.out.tfevents.1670501864.150-136-44-59.941284.2 +3 -0
- runs/Dec08_13-08-12_150-136-44-59/1670504911.8514721/events.out.tfevents.1670504911.150-136-44-59.1644.1 +3 -0
- runs/Dec08_13-08-12_150-136-44-59/1670504956.4451463/events.out.tfevents.1670504956.150-136-44-59.1644.2 +3 -0
- runs/Dec08_13-08-12_150-136-44-59/events.out.tfevents.1670504911.150-136-44-59.1644.0 +3 -0
- training_args.bin +1 -1
.ipynb_checkpoints/README-checkpoint.md
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---
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language:
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- ckb
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license: apache-2.0
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tags:
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- whisper-event
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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model-index:
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- name: Whisper Small Ckb - Razhan Hameed
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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 Ckb - Razhan Hameed
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 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: 25000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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config.json
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"eos_token_id": 50257,
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"forced_decoder_ids":
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[
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"max_length": 448,
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"num_mel_bins": 80,
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"pad_token_id": 50257,
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"scale_embedding": false,
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"suppress_tokens": [
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],
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"torch_dtype": "float32",
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"transformers_version": "4.26.0.dev0",
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"use_cache":
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"vocab_size": 51865
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}
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"eos_token_id": 50257,
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"forced_decoder_ids": null,
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"max_length": 448,
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"num_mel_bins": 80,
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"pad_token_id": 50257,
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"scale_embedding": false,
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"suppress_tokens": [],
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"torch_dtype": "float32",
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"transformers_version": "4.26.0.dev0",
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"use_cache": false,
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"vocab_size": 51865
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}
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