Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+datasets:
+- timit_asr
+metrics:
+- wer
+model-index:
+- name: wav2vec2-base-timit-fine-tuned
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: timit_asr
+      type: timit_asr
+      config: clean
+      split: test
+      args: clean
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.41728125284530637
+---
+
+<!-- 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-base-timit-fine-tuned
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the timit_asr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4273
+- Wer: 0.4173
+
+## 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: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 20.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 3.1618        | 0.8621  | 100  | 3.1117          | 1.0    |
+| 2.9798        | 1.7241  | 200  | 2.9736          | 1.0    |
+| 2.9144        | 2.5862  | 300  | 2.9075          | 1.0    |
+| 2.1714        | 3.4483  | 400  | 2.0945          | 1.0325 |
+| 1.1579        | 4.3103  | 500  | 1.0451          | 0.8299 |
+| 0.6087        | 5.1724  | 600  | 0.6754          | 0.6441 |
+| 0.481         | 6.0345  | 700  | 0.5275          | 0.5761 |
+| 0.3072        | 6.8966  | 800  | 0.4836          | 0.5264 |
+| 0.332         | 7.7586  | 900  | 0.4403          | 0.5234 |
+| 0.1876        | 8.6207  | 1000 | 0.4758          | 0.5222 |
+| 0.2232        | 9.4828  | 1100 | 0.4508          | 0.4892 |
+| 0.1332        | 10.3448 | 1200 | 0.4394          | 0.4740 |
+| 0.1085        | 11.2069 | 1300 | 0.4466          | 0.4621 |
+| 0.098         | 12.0690 | 1400 | 0.4230          | 0.4493 |
+| 0.1219        | 12.9310 | 1500 | 0.4180          | 0.4460 |
+| 0.1021        | 13.7931 | 1600 | 0.4179          | 0.4406 |
+| 0.0741        | 14.6552 | 1700 | 0.4113          | 0.4309 |
+| 0.0896        | 15.5172 | 1800 | 0.4392          | 0.4308 |
+| 0.0492        | 16.3793 | 1900 | 0.4202          | 0.4313 |
+| 0.0759        | 17.2414 | 2000 | 0.4348          | 0.4207 |
+| 0.0406        | 18.1034 | 2100 | 0.4419          | 0.4205 |
+| 0.074         | 18.9655 | 2200 | 0.4306          | 0.4200 |
+| 0.0378        | 19.8276 | 2300 | 0.4273          | 0.4173 |
+
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.3.0.post300
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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runs/May19_22-08-09_tz579-raptorlake/events.out.tfevents.1716174523.tz579-raptorlake.65634.0

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