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roberta-base_immifilms

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
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xet
 Metrics Community
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  1. README.md +5 -7
  2. logs/events.out.tfevents.1702780400.c71d5f26e561.230.2 +2 -2
  3. model.safetensors +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3934
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  ## Model description
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@@ -41,18 +41,16 @@ The following hyperparameters were used during training:
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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: 500
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- - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.6389 | 1.0 | 579 | 0.5691 |
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- | 0.4856 | 2.0 | 1158 | 0.4436 |
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- | 0.3324 | 3.0 | 1737 | 0.3934 |
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- | 0.2259 | 4.0 | 2316 | 0.4446 |
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- | 0.1627 | 5.0 | 2895 | 0.4475 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4367
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  ## Model description
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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: 500
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+ - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.648 | 1.0 | 579 | 0.5886 |
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+ | 0.4947 | 2.0 | 1158 | 0.4537 |
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+ | 0.345 | 3.0 | 1737 | 0.4367 |
 
 
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  ### Framework versions
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