End of training

README.md

@@ -1,86 +1,58 @@
----
-language:
-- lv
-license: apache-2.0
-base_model: arturslogins/whisper-medium-lv
-tags:
-- hf-asr-leaderboard
-- generated_from_trainer
-datasets:
-- ta-dataset/training
-metrics:
-- wer
-model-index:
-- name: Whisper medium LV - Arturs Logins
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Recorded Voice
-      type: ta-dataset/training
-      config: lv
-      split: test
-      args: 'config: lv, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 31.294536817102138
----
-
-<!-- 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 medium LV - Arturs Logins
-
-This model is a fine-tuned version of [arturslogins/whisper-medium-lv](https://huggingface.co/arturslogins/whisper-medium-lv) on the Recorded Voice dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4217
-- Wer: 31.2945
-
-## 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: 12
-- seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 32
-- 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     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.1818        | 0.1867 | 1000 | 0.5788          | 36.5321 |
-| 0.1331        | 0.3734 | 2000 | 0.5003          | 33.9311 |
-| 0.097         | 0.5601 | 3000 | 0.4944          | 36.2470 |
-| 0.0809        | 0.7468 | 4000 | 0.4433          | 32.3515 |
-| 0.1434        | 0.9334 | 5000 | 0.4217          | 31.2945 |
-
-
-### Framework versions
-
-- Transformers 4.41.0.dev0
-- Pytorch 2.0.1
-- Datasets 2.19.1
-- Tokenizers 0.19.1
+---
+language:
+- lv
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_1
+model-index:
+- name: Whisper medium LV - Arturs Logins
+  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 medium LV - Arturs Logins
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 16.1 dataset.
+
+## 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: 5e-06
+- train_batch_size: 4
+- 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: 500
+- training_steps: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.43.0.dev0
+- Pytorch 2.2.2+cpu
+- Datasets 2.18.0
+- Tokenizers 0.19.1

generation_config.json

@@ -1,249 +1,249 @@
-{
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+      15
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+}

training_log.txt

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