Upload TFWhisperForConditionalGeneration

README.md

@@ -14,12 +14,12 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2807
-- Train Accuracy: 0.0326
-- Train Wermet: 5.9455
-- Validation Loss: 0.5636
-- Validation Accuracy: 0.0313
-- Validation Wermet: 5.3382
+- Train Loss: 0.2198
+- Train Accuracy: 0.0320
+- Train Wermet: 3.8215
+- Validation Loss: 0.4835
+- Validation Accuracy: 0.0311
+- Validation Wermet: 4.4217
 - Epoch: 14
 
 ## Model description
@@ -46,26 +46,26 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
 |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
-| 5.0860     | 0.0116         | 45.4352      | 4.4455          | 0.0124              | 36.1611           | 0     |
-| 4.3098     | 0.0131         | 29.4890      | 4.0321          | 0.0144              | 24.9514           | 1     |
-| 3.6711     | 0.0160         | 25.7380      | 2.7995          | 0.0205              | 32.2126           | 2     |
-| 2.2582     | 0.0224         | 31.5946      | 1.6772          | 0.0257              | 23.9282           | 3     |
-| 1.4268     | 0.0262         | 23.3380      | 1.2097          | 0.0279              | 18.7331           | 4     |
-| 1.0613     | 0.0279         | 13.6764      | 0.9972          | 0.0289              | 10.7707           | 5     |
-| 0.8545     | 0.0290         | 9.2746       | 0.8605          | 0.0296              | 6.5566            | 6     |
-| 0.7144     | 0.0297         | 7.4723       | 0.7768          | 0.0300              | 5.4825            | 7     |
-| 0.6116     | 0.0303         | 6.9092       | 0.7125          | 0.0304              | 6.5220            | 8     |
-| 0.5307     | 0.0308         | 6.4113       | 0.6640          | 0.0306              | 5.7589            | 9     |
-| 0.4647     | 0.0312         | 5.5865       | 0.6338          | 0.0309              | 4.8846            | 10    |
-| 0.4085     | 0.0316         | 5.9874       | 0.6035          | 0.0310              | 3.8731            | 11    |
-| 0.3602     | 0.0320         | 5.5558       | 0.5838          | 0.0311              | 6.3441            | 12    |
-| 0.3184     | 0.0323         | 6.2887       | 0.5690          | 0.0312              | 3.9274            | 13    |
-| 0.2807     | 0.0326         | 5.9455       | 0.5636          | 0.0313              | 5.3382            | 14    |
+| 5.0729     | 0.0113         | 42.1824      | 4.4421          | 0.0120              | 27.3059           | 0     |
+| 4.3249     | 0.0126         | 23.9224      | 4.0443          | 0.0141              | 18.2054           | 1     |
+| 3.8845     | 0.0144         | 12.7780      | 3.4577          | 0.0169              | 10.3356           | 2     |
+| 2.7411     | 0.0198         | 15.0018      | 1.8774          | 0.0244              | 14.5666           | 3     |
+| 1.5621     | 0.0250         | 9.7248       | 1.2443          | 0.0273              | 5.4731            | 4     |
+| 1.0745     | 0.0272         | 7.1512       | 0.9802          | 0.0285              | 4.4745            | 5     |
+| 0.8261     | 0.0284         | 6.2358       | 0.8209          | 0.0293              | 5.6600            | 6     |
+| 0.6673     | 0.0292         | 5.8338       | 0.7182          | 0.0298              | 4.0874            | 7     |
+| 0.5548     | 0.0298         | 5.0555       | 0.6489          | 0.0301              | 4.4537            | 8     |
+| 0.4694     | 0.0303         | 4.3895       | 0.6038          | 0.0304              | 2.8294            | 9     |
+| 0.4011     | 0.0307         | 4.4178       | 0.5673          | 0.0306              | 3.5806            | 10    |
+| 0.3446     | 0.0311         | 4.1189       | 0.5329          | 0.0308              | 4.7372            | 11    |
+| 0.2968     | 0.0314         | 3.9189       | 0.5138          | 0.0309              | 2.2499            | 12    |
+| 0.2553     | 0.0317         | 3.7758       | 0.4990          | 0.0310              | 3.3427            | 13    |
+| 0.2198     | 0.0320         | 3.8215       | 0.4835          | 0.0311              | 4.4217            | 14    |
 
 
 ### Framework versions
 
-- Transformers 4.25.0.dev0
-- TensorFlow 2.9.2
-- Datasets 2.6.1
+- Transformers 4.27.0.dev0
+- TensorFlow 2.11.0
+- Datasets 2.10.0
 - Tokenizers 0.13.2

config.json

@@ -2,6 +2,7 @@
   "_name_or_path": "openai/whisper-tiny",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
+  "apply_spec_augment": false,
   "architectures": [
     "WhisperForConditionalGeneration"
   ],
@@ -26,6 +27,12 @@
   "forced_decoder_ids": null,
   "init_std": 0.02,
   "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
   "max_length": 448,
   "max_source_positions": 1500,
   "max_target_positions": 448,
@@ -36,7 +43,7 @@
   "scale_embedding": false,
   "suppress_tokens": [],
   "torch_dtype": "float32",
-  "transformers_version": "4.25.0.dev0",
+  "transformers_version": "4.27.0.dev0",
   "use_cache": true,
   "vocab_size": 51865
 }

generation_config.json

@@ -0,0 +1,219 @@
+{
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+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
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+  "is_multilingual": true,
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+  "max_initial_timestamp_index": 1,
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+  "task_to_id": {
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+  "transformers_version": "4.27.0.dev0"
+}

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:bdfc94efa028b26b1f83d1ff5d33aff6b3b4b6206cc12c694f81e827369b630f
 size 151253984