End of training

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+base_model: steja/whisper-small-persian
+tags:
+- generated_from_trainer
+datasets:
+- fleurs
+metrics:
+- wer
+model-index:
+- name: pashto-asr-cws-v1
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: fleurs
+      type: fleurs
+      config: ps_af
+      split: None
+      args: ps_af
+    metrics:
+    - name: Wer
+      type: wer
+      value: 49.37953995157385
+---
+
+<!-- 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. -->
+
+# pashto-asr-cws-v1
+
+This model is a fine-tuned version of [steja/whisper-small-persian](https://huggingface.co/steja/whisper-small-persian) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7501
+- Wer: 49.3795
+- Cer: 20.8766
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 30
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
+| 0.7899        | 0.8065 | 100  | 0.8629          | 75.8323 | 47.9045 |
+| 0.5051        | 1.6129 | 200  | 0.6860          | 52.9888 | 23.1242 |
+| 0.3555        | 2.4194 | 300  | 0.6612          | 51.6798 | 22.9404 |
+| 0.257         | 3.2258 | 400  | 0.6565          | 49.2660 | 21.0588 |
+| 0.2174        | 4.0323 | 500  | 0.6560          | 47.1777 | 19.8523 |
+| 0.1626        | 4.8387 | 600  | 0.6787          | 48.7591 | 20.4305 |
+| 0.1268        | 5.6452 | 700  | 0.7062          | 49.4401 | 21.0137 |
+| 0.0871        | 6.4516 | 800  | 0.7279          | 49.2433 | 20.7062 |
+| 0.0685        | 7.2581 | 900  | 0.7443          | 49.3795 | 21.2276 |
+| 0.0662        | 8.0645 | 1000 | 0.7501          | 49.3795 | 20.8766 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,14 @@
+{
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "max_length": 448,
+  "pad_token_id": 50257,
+  "suppress_tokens": [],
+  "transformers_version": "4.42.4",
+  "use_cache": false
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b2567f4c1358ab58f9736ed61c24c56018598f64b673ba935567592e407f5007
+oid sha256:f07b6a530db10a1603e65e7a17617172e691348e86a285065523113719173bb6
 size 966995080