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hubert-classifier-aug

Audio Classification
Transformers
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Safetensors
hubert
Generated from Trainer
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End of training

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  1. README.md +23 -23
  2. runs/Jul18_12-49-20_LAPTOP-1GID9RGH/events.out.tfevents.1721281761.LAPTOP-1GID9RGH.12488.0 +2 -2
  3. runs/Jul18_12-49-20_LAPTOP-1GID9RGH/events.out.tfevents.1721282130.LAPTOP-1GID9RGH.12488.1 +3 -0
README.md CHANGED
@@ -20,12 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.4212
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- - Accuracy: 0.0162
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- - Precision: 0.0003
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- - Recall: 0.0162
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- - F1: 0.0005
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- - Binary: 0.1280
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  ## Model description
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@@ -59,23 +59,23 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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- | No log | 0.19 | 50 | 4.4254 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1296 |
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- | No log | 0.38 | 100 | 4.4233 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1261 |
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- | No log | 0.58 | 150 | 4.4237 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
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- | No log | 0.77 | 200 | 4.4238 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1243 |
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- | No log | 0.96 | 250 | 4.4228 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1353 |
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- | No log | 1.15 | 300 | 4.4205 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1216 |
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- | No log | 1.34 | 350 | 4.4226 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
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- | No log | 1.53 | 400 | 4.4220 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
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- | No log | 1.73 | 450 | 4.4209 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1353 |
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- | 4.4255 | 1.92 | 500 | 4.4212 | 0.0162 | 0.0003 | 0.0162 | 0.0005 | 0.1280 |
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- | 4.4255 | 2.11 | 550 | 4.4219 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
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- | 4.4255 | 2.3 | 600 | 4.4211 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1315 |
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- | 4.4255 | 2.49 | 650 | 4.4216 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
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- | 4.4255 | 2.68 | 700 | 4.4216 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
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- | 4.4255 | 2.88 | 750 | 4.4216 | 0.0162 | 0.0003 | 0.0162 | 0.0005 | 0.1280 |
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- | 4.4255 | 3.07 | 800 | 4.4211 | 0.0162 | 0.0003 | 0.0162 | 0.0005 | 0.1280 |
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- | 4.4255 | 3.26 | 850 | 4.4215 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1315 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.4213
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+ - Accuracy: 0.0148
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+ - Precision: 0.0002
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+ - Recall: 0.0148
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+ - F1: 0.0004
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+ - Binary: 0.1283
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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+ | No log | 0.15 | 50 | 4.4256 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1243 |
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+ | No log | 0.31 | 100 | 4.4222 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1333 |
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+ | No log | 0.46 | 150 | 4.4227 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1352 |
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+ | No log | 0.62 | 200 | 4.4228 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1371 |
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+ | No log | 0.77 | 250 | 4.4222 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1264 |
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+ | No log | 0.92 | 300 | 4.4226 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1371 |
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+ | No log | 1.08 | 350 | 4.4219 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1283 |
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+ | No log | 1.23 | 400 | 4.4221 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1261 |
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+ | No log | 1.39 | 450 | 4.4221 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1283 |
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+ | 4.4251 | 1.54 | 500 | 4.4213 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1283 |
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+ | 4.4251 | 1.69 | 550 | 4.4215 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1352 |
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+ | 4.4251 | 1.85 | 600 | 4.4210 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1333 |
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+ | 4.4251 | 2.0 | 650 | 4.4214 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1371 |
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+ | 4.4251 | 2.16 | 700 | 4.4229 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1371 |
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+ | 4.4251 | 2.31 | 750 | 4.4208 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1283 |
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+ | 4.4251 | 2.47 | 800 | 4.4214 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1283 |
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+ | 4.4251 | 2.62 | 850 | 4.4207 | 0.0148 | 0.0002 | 0.0148 | 0.0004 | 0.1371 |
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  ### Framework versions
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runs/Jul18_12-49-20_LAPTOP-1GID9RGH/events.out.tfevents.1721282130.LAPTOP-1GID9RGH.12488.1 ADDED
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