feat: add all check points and runs
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- README.md +83 -0
- added_tokens.json +109 -0
- all_results.json +12 -0
- checkpoint-100/config.json +41 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/preprocessor_config.json +0 -0
- checkpoint-100/pytorch_model.bin +3 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scaler.pt +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/trainer_state.json +145 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-200/config.json +41 -0
- checkpoint-200/optimizer.pt +3 -0
- checkpoint-200/preprocessor_config.json +0 -0
- checkpoint-200/pytorch_model.bin +3 -0
- checkpoint-200/rng_state.pth +3 -0
- checkpoint-200/scaler.pt +3 -0
- checkpoint-200/scheduler.pt +3 -0
- checkpoint-200/trainer_state.json +274 -0
- checkpoint-200/training_args.bin +3 -0
- checkpoint-300/config.json +41 -0
- checkpoint-300/optimizer.pt +3 -0
- checkpoint-300/preprocessor_config.json +0 -0
- checkpoint-300/pytorch_model.bin +3 -0
- checkpoint-300/rng_state.pth +3 -0
- checkpoint-300/scaler.pt +3 -0
- checkpoint-300/scheduler.pt +3 -0
- checkpoint-300/trainer_state.json +403 -0
- checkpoint-300/training_args.bin +3 -0
- checkpoint-400/config.json +41 -0
- checkpoint-400/optimizer.pt +3 -0
- checkpoint-400/preprocessor_config.json +0 -0
- checkpoint-400/pytorch_model.bin +3 -0
- checkpoint-400/rng_state.pth +3 -0
- checkpoint-400/scaler.pt +3 -0
- checkpoint-400/scheduler.pt +3 -0
- checkpoint-400/trainer_state.json +532 -0
- checkpoint-400/training_args.bin +3 -0
- checkpoint-500/config.json +41 -0
- checkpoint-500/optimizer.pt +3 -0
- checkpoint-500/preprocessor_config.json +0 -0
- checkpoint-500/pytorch_model.bin +3 -0
- checkpoint-500/rng_state.pth +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.pt +3 -0
- checkpoint-500/trainer_state.json +661 -0
- checkpoint-500/training_args.bin +3 -0
- config.json +41 -0
- eval_results.json +8 -0
README.md
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---
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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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- google/fleurs
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metrics:
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- wer
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model-index:
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- name: Whisper Medium Pashto
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: google/fleurs ps_af
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type: google/fleurs
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config: ps_af
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split: test
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args: ps_af
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metrics:
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- name: Wer
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type: wer
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value: 50.6431598062954
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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 Medium Pashto
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the google/fleurs ps_af dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2950
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- Wer: 50.6432
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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: 32
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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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: 50
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- training_steps: 500
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.0139 | 14.29 | 100 | 1.0302 | 50.1211 |
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| 0.0011 | 28.57 | 200 | 1.2129 | 49.7806 |
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| 0.0008 | 42.86 | 300 | 1.2581 | 50.3178 |
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| 0.0007 | 57.14 | 400 | 1.2850 | 50.5524 |
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| 0.0007 | 71.43 | 500 | 1.2950 | 50.6432 |
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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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added_tokens.json
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{
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}
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all_results.json
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{
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"epoch": 71.43,
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"eval_loss": 1.2950359582901,
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"eval_runtime": 1406.7383,
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"eval_samples_per_second": 0.364,
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"eval_steps_per_second": 0.023,
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"eval_wer": 50.6431598062954,
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"train_loss": 0.15911377191729845,
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"train_runtime": 10886.8048,
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"train_samples_per_second": 2.939,
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"train_steps_per_second": 0.046
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}
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checkpoint-100/config.json
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{
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"_name_or_path": "openai/whisper-medium",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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"WhisperForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"begin_suppress_tokens": [
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50257
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],
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"bos_token_id": 50257,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 24,
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"decoder_start_token_id": 50258,
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"dropout": 0.0,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 24,
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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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"max_source_positions": 1500,
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"max_target_positions": 448,
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"model_type": "whisper",
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"num_hidden_layers": 24,
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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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"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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checkpoint-100/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0fb9e51e60d79519fd5171098988e8560e9d36c85ee41acd1cc2918faa49d2e
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size 6111427735
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checkpoint-100/preprocessor_config.json
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checkpoint-100/pytorch_model.bin
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checkpoint-100/rng_state.pth
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checkpoint-100/scaler.pt
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size 557
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checkpoint-100/scheduler.pt
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size 627
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checkpoint-100/trainer_state.json
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{
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checkpoint-400/preprocessor_config.json
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The diff for this file is too large to render.
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checkpoint-400/pytorch_model.bin
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checkpoint-400/rng_state.pth
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checkpoint-500/training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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config.json
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@@ -0,0 +1,41 @@
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eval_results.json
ADDED
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