End of training

README.md

@@ -0,0 +1,64 @@
+---
+language:
+- ka
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Small Ka - tsobolev
+  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 Small Ka - tsobolev
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0542
+- Wer Ortho: 0.2785
+- Wer: 0.2470
+
+## 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: 50
+- training_steps: 5000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.0123        | 2.76  | 5000 | 0.0542          | 0.2785    | 0.2470 |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.0
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

@@ -265,5 +265,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.30.2"
+  "transformers_version": "4.32.1"
 }