Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: fs-w-he-base
+  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. -->
+
+# fs-w-he-base
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1453
+- Wer: 110.8262
+- Cer: 93.0350
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer      | Cer      |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|
+| 7.2383        | 4.5872  | 500  | 7.6104          | 178.9174 | 140.9825 |
+| 1.348         | 9.1743  | 1000 | 2.0785          | 113.0579 | 96.7795  |
+| 0.4859        | 13.7615 | 1500 | 1.1437          | 132.2412 | 113.7066 |
+| 0.2809        | 18.3486 | 2000 | 0.9320          | 156.9801 | 142.7087 |
+| 0.1568        | 22.9358 | 2500 | 0.9841          | 124.2640 | 115.1666 |
+| 0.041         | 27.5229 | 3000 | 1.0475          | 130.6743 | 110.1941 |
+| 0.0091        | 32.1101 | 3500 | 1.0947          | 124.5014 | 103.2205 |
+| 0.0016        | 36.6972 | 4000 | 1.1475          | 137.9392 | 119.5981 |
+| 0.0001        | 41.2844 | 4500 | 1.1431          | 124.0741 | 103.3494 |
+| 0.0001        | 45.8716 | 5000 | 1.1453          | 110.8262 | 93.0350  |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      3,
+      1
+    ],
+    [
+      4,
+      2
+    ],
+    [
+      4,
+      3
+    ],
+    [
+      4,
+      7
+    ],
+    [
+      5,
+      1
+    ],
+    [
+      5,
+      2
+    ],
+    [
+      5,
+      4
+    ],
+    [
+      5,
+      6
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      null
+    ],
+    [
+      2,
+      50359
+    ]
+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
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+  },
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.45.1"
+}