End of training

README.md

@@ -0,0 +1,67 @@
+---
+license: apache-2.0
+base_model: motheecreator/wav2vec2-base-finetuned
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-base-finetuned-finetuned
+  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. -->
+
+# wav2vec2-base-finetuned-finetuned
+
+This model is a fine-tuned version of [motheecreator/wav2vec2-base-finetuned](https://huggingface.co/motheecreator/wav2vec2-base-finetuned) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0829
+- Accuracy: 0.9882
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 0.1448        | 1.0   | 1900 | 0.9601   | 0.1447          |
+| 0.0673        | 2.0   | 3800 | 0.0817   | 0.9824          |
+| 0.0178        | 3.0   | 5700 | 0.1054   | 0.9796          |
+| 0.0002        | 4.0   | 7600 | 0.1074   | 0.9824          |
+| 0.0108        | 5.0   | 9500 | 0.0829   | 0.9882          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/May18_12-31-00_276a264a9557/events.out.tfevents.1716052647.276a264a9557.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0538b57d3580c920fe281925adef17f3e1fb87d4c1a719daea55e05c64426cfe
+size 734