End of training

README.md

@@ -1,199 +1,92 @@
 ---
-library_name: transformers
-tags: []
+language:
+- tr
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17
+model-index:
+- name: 'Wav2Vec2-XLS-TR '
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
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-
-
-## Model Details
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-### Model Description
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-<!-- Provide a longer summary of what this model is. -->
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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-## Uses
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-## How to Get Started with the Model
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+<!-- 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. -->
+
+# Wav2Vec2-XLS-TR 
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the Common Voice 17 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2069
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 4.0821        | 1.0   | 1451  | 3.1704          |
+| 0.8611        | 2.0   | 2902  | 0.3721          |
+| 0.4726        | 3.0   | 4353  | 0.3021          |
+| 0.3757        | 4.0   | 5804  | 0.2881          |
+| 0.3188        | 5.0   | 7255  | 0.2580          |
+| 0.2837        | 6.0   | 8706  | 0.2529          |
+| 0.2625        | 7.0   | 10157 | 0.2410          |
+| 0.2436        | 8.0   | 11608 | 0.2379          |
+| 0.2222        | 9.0   | 13059 | 0.2246          |
+| 0.2193        | 10.0  | 14510 | 0.2355          |
+| 0.2077        | 11.0  | 15961 | 0.2199          |
+| 0.1912        | 12.0  | 17412 | 0.2161          |
+| 0.1861        | 13.0  | 18863 | 0.2128          |
+| 0.1732        | 14.0  | 20314 | 0.2164          |
+| 0.1626        | 15.0  | 21765 | 0.2113          |
+| 0.1643        | 16.0  | 23216 | 0.2190          |
+| 0.156         | 17.0  | 24667 | 0.2178          |
+| 0.1549        | 18.0  | 26118 | 0.2282          |
+| 0.1391        | 19.0  | 27569 | 0.2014          |
+| 0.1337        | 20.0  | 29020 | 0.2117          |
+| 0.1335        | 21.0  | 30471 | 0.2058          |
+| 0.1289        | 22.0  | 31922 | 0.2089          |
+| 0.1211        | 23.0  | 33373 | 0.2114          |
+| 0.1167        | 24.0  | 34824 | 0.2093          |
+| 0.1123        | 25.0  | 36275 | 0.2121          |
+| 0.115         | 26.0  | 37726 | 0.2082          |
+| 0.1034        | 27.0  | 39177 | 0.2109          |
+| 0.1053        | 28.0  | 40628 | 0.2064          |
+| 0.1003        | 29.0  | 42079 | 0.2083          |
+| 0.0978        | 30.0  | 43530 | 0.2069          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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runs/Jul09_16-10-17_aitest2/events.out.tfevents.1720531514.aitest2.910853.0

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