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krittapas
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my-clf

Text Classification
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End of training

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  1. README.md +21 -21
  2. model.safetensors +1 -1
  3. runs/Mar10_10-49-09_f875dd366071/events.out.tfevents.1710067750.f875dd366071.34.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [avsolatorio/GIST-large-Embedding-v0](https://huggingface.co/avsolatorio/GIST-large-Embedding-v0) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2340
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- - F1: 0.5782
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- - Roc Auc: 0.7419
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- - Accuracy: 0.0893
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  ## Model description
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@@ -41,8 +41,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -52,21 +52,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | No log | 1.0 | 25 | 0.3280 | 0.0550 | 0.5234 | 0.0 |
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- | No log | 2.0 | 50 | 0.2996 | 0.1772 | 0.5693 | 0.0357 |
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- | No log | 3.0 | 75 | 0.2790 | 0.3053 | 0.6174 | 0.0 |
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- | No log | 4.0 | 100 | 0.2626 | 0.3905 | 0.6529 | 0.0357 |
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- | No log | 5.0 | 125 | 0.2548 | 0.4295 | 0.6792 | 0.0536 |
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- | No log | 6.0 | 150 | 0.2523 | 0.4727 | 0.6927 | 0.0357 |
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- | No log | 7.0 | 175 | 0.2401 | 0.4491 | 0.6834 | 0.0536 |
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- | No log | 8.0 | 200 | 0.2306 | 0.5225 | 0.7111 | 0.0714 |
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- | No log | 9.0 | 225 | 0.2353 | 0.5580 | 0.7312 | 0.0714 |
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- | No log | 10.0 | 250 | 0.2331 | 0.5763 | 0.7351 | 0.0714 |
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- | No log | 11.0 | 275 | 0.2349 | 0.5874 | 0.7475 | 0.125 |
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- | No log | 12.0 | 300 | 0.2310 | 0.5843 | 0.7437 | 0.0893 |
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- | No log | 13.0 | 325 | 0.2338 | 0.5700 | 0.7354 | 0.0714 |
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- | No log | 14.0 | 350 | 0.2334 | 0.5984 | 0.7564 | 0.1071 |
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- | No log | 15.0 | 375 | 0.2340 | 0.5782 | 0.7419 | 0.0893 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [avsolatorio/GIST-large-Embedding-v0](https://huggingface.co/avsolatorio/GIST-large-Embedding-v0) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2391
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+ - F1: 0.5650
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+ - Roc Auc: 0.7487
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+ - Accuracy: 0.1228
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | No log | 1.0 | 50 | 0.3095 | 0.1123 | 0.5442 | 0.0351 |
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+ | No log | 2.0 | 100 | 0.2862 | 0.2744 | 0.6015 | 0.0702 |
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+ | No log | 3.0 | 150 | 0.2642 | 0.3740 | 0.6488 | 0.0877 |
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+ | No log | 4.0 | 200 | 0.2563 | 0.4429 | 0.6792 | 0.0526 |
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+ | No log | 5.0 | 250 | 0.2492 | 0.5030 | 0.7178 | 0.0877 |
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+ | No log | 6.0 | 300 | 0.2323 | 0.5296 | 0.7199 | 0.1228 |
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+ | No log | 7.0 | 350 | 0.2372 | 0.5433 | 0.7326 | 0.1053 |
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+ | No log | 8.0 | 400 | 0.2326 | 0.5371 | 0.7279 | 0.1053 |
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+ | No log | 9.0 | 450 | 0.2346 | 0.5587 | 0.7382 | 0.1404 |
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+ | 0.1673 | 10.0 | 500 | 0.2393 | 0.5819 | 0.7534 | 0.1053 |
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+ | 0.1673 | 11.0 | 550 | 0.2370 | 0.5656 | 0.7471 | 0.1053 |
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+ | 0.1673 | 12.0 | 600 | 0.2374 | 0.5680 | 0.7479 | 0.1404 |
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+ | 0.1673 | 13.0 | 650 | 0.2392 | 0.5680 | 0.7500 | 0.1228 |
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+ | 0.1673 | 14.0 | 700 | 0.2398 | 0.5650 | 0.7487 | 0.1228 |
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+ | 0.1673 | 15.0 | 750 | 0.2391 | 0.5650 | 0.7487 | 0.1228 |
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  ### Framework versions
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