Model save

README.md

@@ -1,12 +1,118 @@
 ---
 library_name: transformers
-datasets:
-- imvladikon/hebrew_speech_coursera
-language:
-- he
-metrics:
-- wer
-base_model:
-- imvladikon/hebrew_speech_coursera
-pipeline_tag: automatic-speech-recognition
+base_model: ivrit-ai/whisper-large-v3-turbo
+tags:
+- generated_from_trainer
+model-index:
+- name: whisper-large-v3-turbo-ivrit-ai-coursera-fine-tuned
+  results: []
 ---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# whisper-large-v3-turbo-ivrit-ai-coursera-fine-tuned
+
+This model is a fine-tuned version of [ivrit-ai/whisper-large-v3-turbo](https://huggingface.co/ivrit-ai/whisper-large-v3-turbo) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2829
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 5
+- eval_batch_size: 5
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_ratio: 0.1
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.1907        | 0.1641 | 500   | 0.2266          |
+| 0.2283        | 0.3283 | 1000  | 0.2217          |
+| 0.2253        | 0.4924 | 1500  | 0.2154          |
+| 0.2257        | 0.6566 | 2000  | 0.2080          |
+| 0.2138        | 0.8207 | 2500  | 0.2102          |
+| 0.2153        | 0.9849 | 3000  | 0.2056          |
+| 0.1615        | 1.1490 | 3500  | 0.2128          |
+| 0.1588        | 1.3132 | 4000  | 0.1677          |
+| 0.1628        | 1.4773 | 4500  | 0.1656          |
+| 0.168         | 1.6415 | 5000  | 0.1798          |
+| 0.167         | 1.8056 | 5500  | 0.1710          |
+| 0.1663        | 1.9698 | 6000  | 0.1828          |
+| 0.1297        | 2.1339 | 6500  | 0.1722          |
+| 0.1196        | 2.2981 | 7000  | 0.1762          |
+| 0.1336        | 2.4622 | 7500  | 0.1779          |
+| 0.1258        | 2.6264 | 8000  | 0.1821          |
+| 0.1275        | 2.7905 | 8500  | 0.1796          |
+| 0.1331        | 2.9547 | 9000  | 0.1786          |
+| 0.0988        | 3.1188 | 9500  | 0.1982          |
+| 0.0933        | 3.2830 | 10000 | 0.1888          |
+| 0.0963        | 3.4471 | 10500 | 0.1927          |
+| 0.0946        | 3.6113 | 11000 | 0.1979          |
+| 0.1018        | 3.7754 | 11500 | 0.2031          |
+| 0.1027        | 3.9396 | 12000 | 0.1971          |
+| 0.0795        | 4.1037 | 12500 | 0.2016          |
+| 0.0698        | 4.2679 | 13000 | 0.2017          |
+| 0.0736        | 4.4320 | 13500 | 0.2058          |
+| 0.0747        | 4.5962 | 14000 | 0.2033          |
+| 0.0768        | 4.7603 | 14500 | 0.2057          |
+| 0.0801        | 4.9245 | 15000 | 0.2076          |
+| 0.067         | 5.0886 | 15500 | 0.2196          |
+| 0.0539        | 5.2528 | 16000 | 0.2185          |
+| 0.0563        | 5.4169 | 16500 | 0.2220          |
+| 0.0594        | 5.5811 | 17000 | 0.2265          |
+| 0.0651        | 5.7452 | 17500 | 0.2176          |
+| 0.0655        | 5.9094 | 18000 | 0.2227          |
+| 0.0533        | 6.0735 | 18500 | 0.2387          |
+| 0.0441        | 6.2377 | 19000 | 0.2334          |
+| 0.0474        | 6.4018 | 19500 | 0.2343          |
+| 0.0506        | 6.5660 | 20000 | 0.2387          |
+| 0.0504        | 6.7301 | 20500 | 0.2373          |
+| 0.0502        | 6.8943 | 21000 | 0.2318          |
+| 0.0441        | 7.0584 | 21500 | 0.2524          |
+| 0.0375        | 7.2226 | 22000 | 0.2533          |
+| 0.0379        | 7.3867 | 22500 | 0.2491          |
+| 0.0382        | 7.5509 | 23000 | 0.2635          |
+| 0.0427        | 7.7150 | 23500 | 0.2506          |
+| 0.0439        | 7.8792 | 24000 | 0.2430          |
+| 0.043         | 8.0433 | 24500 | 0.2575          |
+| 0.0296        | 8.2075 | 25000 | 0.2617          |
+| 0.0309        | 8.3716 | 25500 | 0.2797          |
+| 0.0366        | 8.5358 | 26000 | 0.2689          |
+| 0.0351        | 8.6999 | 26500 | 0.2687          |
+| 0.0384        | 8.8641 | 27000 | 0.2643          |
+| 0.0365        | 9.0282 | 27500 | 0.2688          |
+| 0.0265        | 9.1924 | 28000 | 0.2903          |
+| 0.0299        | 9.3565 | 28500 | 0.2742          |
+| 0.0347        | 9.5207 | 29000 | 0.2754          |
+| 0.0311        | 9.6848 | 29500 | 0.2744          |
+| 0.0345        | 9.8490 | 30000 | 0.2829          |
+
+
+### Framework versions
+
+- Transformers 4.48.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1

generation_config.json

@@ -25,6 +25,7 @@
       14
     ]
   ],
+  "attn_implementation": null,
   "begin_suppress_tokens": [
     220,
     50257
@@ -151,96 +152,7 @@
   "pad_token_id": 50257,
   "prev_sot_token_id": 50362,
   "return_timestamps": false,
-  "suppress_tokens": [
-    1,
-    2,
-    7,
-    8,
-    9,
-    10,
-    14,
-    25,
-    26,
-    27,
-    28,
-    29,
-    31,
-    58,
-    59,
-    60,
-    61,
-    62,
-    63,
-    90,
-    91,
-    92,
-    93,
-    359,
-    503,
-    522,
-    542,
-    873,
-    893,
-    902,
-    918,
-    922,
-    931,
-    1350,
-    1853,
-    1982,
-    2460,
-    2627,
-    3246,
-    3253,
-    3268,
-    3536,
-    3846,
-    3961,
-    4183,
-    4667,
-    6585,
-    6647,
-    7273,
-    9061,
-    9383,
-    10428,
-    10929,
-    11938,
-    12033,
-    12331,
-    12562,
-    13793,
-    14157,
-    14635,
-    15265,
-    15618,
-    16553,
-    16604,
-    18362,
-    18956,
-    20075,
-    21675,
-    22520,
-    26130,
-    26161,
-    26435,
-    28279,
-    29464,
-    31650,
-    32302,
-    32470,
-    36865,
-    42863,
-    47425,
-    49870,
-    50254,
-    50258,
-    50359,
-    50360,
-    50361,
-    50362,
-    50363
-  ],
+  "suppress_tokens": [],
   "task_to_id": {
     "transcribe": 50360,
     "translate": 50359