Aynursusuz/whisper_small

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
-license: mit
-base_model: distil-whisper/distil-small.en
+license: apache-2.0
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 metrics:
@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # music_speech_classification
 
-This model is a fine-tuned version of [distil-whisper/distil-small.en](https://huggingface.co/distil-whisper/distil-small.en) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0002
+- Loss: 0.0001
 - Accuracy: 1.0
 
 ## Model description
@@ -54,7 +54,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0002        | 1.0   | 287  | 0.0002          | 1.0      |
+| 0.0           | 1.0   | 287  | 0.0001          | 1.0      |
 
 
 ### Framework versions

config.json

@@ -8,7 +8,7 @@
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+    50257
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   "bos_token_id": 50257,
   "classifier_proj_size": 256,
@@ -16,19 +16,27 @@
   "decoder_attention_heads": 12,
   "decoder_ffn_dim": 3072,
   "decoder_layerdrop": 0.0,
-  "decoder_layers": 4,
-  "decoder_start_token_id": 50257,
+  "decoder_layers": 12,
+  "decoder_start_token_id": 50258,
   "dropout": 0.0,
   "dtype": "float32",
   "encoder_attention_heads": 12,
   "encoder_ffn_dim": 3072,
   "encoder_layerdrop": 0.0,
   "encoder_layers": 12,
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+  "eos_token_id": 50257,
   "forced_decoder_ids": [
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   ],
   "id2label": {
@@ -54,7 +62,7 @@
   "model_type": "whisper",
   "num_hidden_layers": 12,
   "num_mel_bins": 80,
-  "pad_token_id": 50256,
+  "pad_token_id": 50257,
   "scale_embedding": false,
   "suppress_tokens": [
     1,
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   "use_cache": true,
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+  "vocab_size": 51865
 }

model.safetensors

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training_args.bin

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