End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-base-finetuned-ic-slurp-no-pretrain
+  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-ic-slurp-no-pretrain
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1033
+- Accuracy: 0.3082
+
+## 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-05
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 96
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 3.8949        | 1.0   | 527   | 3.8954          | 0.0717   |
+| 3.8006        | 2.0   | 1055  | 3.8025          | 0.0810   |
+| 3.7439        | 3.0   | 1582  | 3.7616          | 0.0821   |
+| 3.7199        | 4.0   | 2110  | 3.6873          | 0.0925   |
+| 3.6145        | 5.0   | 2637  | 3.6367          | 0.0980   |
+| 3.542         | 6.0   | 3165  | 3.5391          | 0.1161   |
+| 3.3305        | 7.0   | 3692  | 3.3986          | 0.1528   |
+| 3.171         | 8.0   | 4220  | 3.2162          | 0.2022   |
+| 2.9197        | 9.0   | 4747  | 3.0826          | 0.2344   |
+| 2.6468        | 10.0  | 5275  | 2.9709          | 0.2643   |
+| 2.4813        | 11.0  | 5802  | 2.9282          | 0.2880   |
+| 2.1928        | 12.0  | 6330  | 2.9192          | 0.2943   |
+| 1.9368        | 13.0  | 6857  | 2.9719          | 0.2974   |
+| 1.693         | 14.0  | 7385  | 3.0304          | 0.3021   |
+| 1.3964        | 15.0  | 7912  | 3.1033          | 0.3082   |
+| 1.3051        | 16.0  | 8440  | 3.2700          | 0.2945   |
+| 1.0794        | 17.0  | 8967  | 3.4284          | 0.3033   |
+| 0.9993        | 18.0  | 9495  | 3.5327          | 0.2998   |
+| 0.7641        | 19.0  | 10022 | 3.6907          | 0.2978   |
+| 0.68          | 20.0  | 10550 | 3.8579          | 0.2984   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

model.safetensors

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runs/Mar05_14-16-24_ki-g0009/events.out.tfevents.1709672861.ki-g0009

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