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keremp
/
opus-em-deberta-3-large-v2

Text Classification
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Safetensors
deberta-v2
Generated from Trainer
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  1. README.md +13 -24
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3445
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- - F1: 0.0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 2
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  - eval_batch_size: 8
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  - seed: 42
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  - distributed_type: multi-GPU
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  - num_devices: 8
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- - total_train_batch_size: 16
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  - total_eval_batch_size: 64
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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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- - lr_scheduler_warmup_steps: 100
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- - num_epochs: 10.0
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  ### Training results
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- | Training Loss | Epoch | Step | F1 | Validation Loss |
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- |:-------------:|:-----:|:----:|:------:|:---------------:|
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- | 1.2929 | 1.0 | 179 | 0.1942 | 13.4522 |
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- | 0.1541 | 2.0 | 359 | 0.1942 | 8.4684 |
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- | 0.1257 | 3.0 | 538 | 0.1942 | 7.6370 |
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- | 0.1684 | 4.0 | 718 | 0.6376 | 0.7054 |
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- | 0.0911 | 5.0 | 897 | 0.1942 | 5.1195 |
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- | 0.145 | 6.0 | 1077 | 0.7984 | 0.2694 |
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- | 0.1191 | 7.0 | 1256 | 0.2027 | 2.9415 |
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- | 0.1008 | 8.0 | 1436 | 0.9023 | 0.1785 |
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- | 0.3698 | 5.0 | 1795 | 0.3514 | 0.0 |
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- | 0.299 | 6.0 | 2154 | 0.3469 | 0.0 |
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- | 0.3531 | 7.0 | 2513 | 0.3420 | 0.0 |
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- | 0.3892 | 8.0 | 2872 | 0.3428 | 0.0 |
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- | 0.3706 | 9.0 | 3231 | 0.3421 | 0.0 |
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- | 0.3863 | 10.0 | 3590 | 0.3445 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.8616
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+ - F1: 0.1955
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 8e-06
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+ - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
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  - distributed_type: multi-GPU
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  - num_devices: 8
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+ - total_train_batch_size: 32
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  - total_eval_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3.0
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.5514 | 1.0 | 180 | 15.0807 | 0.1942 |
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+ | 0.309 | 2.0 | 360 | 13.0905 | 0.1942 |
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+ | 0.1401 | 3.0 | 540 | 5.8616 | 0.1955 |
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
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