Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
hf-asr-leaderboard
pashto
ps
Eval Results (legacy)
Instructions to use ihanif/whisper-medium-pashto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihanif/whisper-medium-pashto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ihanif/whisper-medium-pashto")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ihanif/whisper-medium-pashto") model = AutoModelForSpeechSeq2Seq.from_pretrained("ihanif/whisper-medium-pashto") - Notebooks
- Google Colab
- Kaggle
add best WER checkpoint at step 1200
Browse files- checkpoint-1200/config.json +41 -0
- checkpoint-1200/optimizer.pt +3 -0
- checkpoint-1200/preprocessor_config.json +0 -0
- checkpoint-1200/pytorch_model.bin +3 -0
- checkpoint-1200/rng_state.pth +3 -0
- checkpoint-1200/scaler.pt +3 -0
- checkpoint-1200/scheduler.pt +3 -0
- checkpoint-1200/trainer_state.json +412 -0
- checkpoint-1200/training_args.bin +3 -0
checkpoint-1200/config.json
ADDED
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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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220,
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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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| 16 |
+
"decoder_ffn_dim": 4096,
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| 17 |
+
"decoder_layerdrop": 0.0,
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| 18 |
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"decoder_layers": 24,
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| 19 |
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"decoder_start_token_id": 50258,
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| 20 |
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"dropout": 0.0,
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| 21 |
+
"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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| 23 |
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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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| 26 |
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"forced_decoder_ids": null,
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"init_std": 0.02,
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| 28 |
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"is_encoder_decoder": true,
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| 29 |
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"max_length": 448,
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| 30 |
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"max_source_positions": 1500,
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| 31 |
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"max_target_positions": 448,
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| 32 |
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"model_type": "whisper",
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| 33 |
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"num_hidden_layers": 24,
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| 34 |
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"num_mel_bins": 80,
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| 35 |
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"pad_token_id": 50257,
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| 36 |
+
"scale_embedding": false,
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| 37 |
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"torch_dtype": "float32",
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| 38 |
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"transformers_version": "4.26.0.dev0",
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| 39 |
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"use_cache": false,
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| 40 |
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"vocab_size": 51865
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}
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checkpoint-1200/optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:d458445da730ae852fefdd1efbb7a3cbb6eb7e998ca01239c0b62a9ee24c2671
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| 3 |
+
size 6111428695
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checkpoint-1200/preprocessor_config.json
ADDED
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The diff for this file is too large to render.
See raw diff
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checkpoint-1200/pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:f2b160705165d9aa7c832adbda8e4aa2aba2bd16a3883e9801086c5a755b22b0
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size 3055754841
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checkpoint-1200/rng_state.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:34ad700147ef2fad3ab0df1630fa483e649bc1c8bb65b171f22f772c0b8981ef
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size 14575
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checkpoint-1200/scaler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:17cc5d53f6ce64f7a24cc72e7c61187dc4c279eba99011d48c6c802500fc106d
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size 557
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checkpoint-1200/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae020d01dc6e4c380fefd015708f5d69a276d355437f37b6781081a4054ee6d9
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size 627
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checkpoint-1200/trainer_state.json
ADDED
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@@ -0,0 +1,412 @@
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| 1 |
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{
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"best_model_checkpoint": "./checkpoint-1200",
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"epoch": 171.42857142857142,
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"global_step": 1200,
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"is_world_process_zero": true,
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