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MamiVenkat
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modernbert-llm-model

Text Classification
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modernbert
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text-embeddings-inference
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MamiVenkat commited on
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End of training

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  1. README.md +11 -9
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0000
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- - F1: 1.0
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  ## Model description
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@@ -38,28 +38,30 @@ More information needed
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  ### Training hyperparameters
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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: 32
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  - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
 
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  - num_epochs: 5
 
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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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- | 0.0123 | 1.0 | 380 | 0.0011 | 0.9993 |
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- | 0.0001 | 2.0 | 760 | 0.0000 | 1.0 |
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- | 0.0 | 3.0 | 1140 | 0.0001 | 1.0 |
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- | 0.0 | 4.0 | 1520 | 0.0000 | 1.0 |
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- | 0.0 | 5.0 | 1900 | 0.0000 | 1.0 |
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  ### Framework versions
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  - Transformers 4.48.0.dev0
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- - Pytorch 2.6.0+cu124
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  - Datasets 4.0.0
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  - Tokenizers 0.21.4
 
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2954
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+ - F1: 0.9985
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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: 3e-05
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  - train_batch_size: 32
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  - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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  - num_epochs: 5
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+ - label_smoothing_factor: 0.1
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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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+ | 0.2966 | 1.0 | 380 | 0.2980 | 0.9978 |
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+ | 0.2933 | 2.0 | 760 | 0.2952 | 0.9985 |
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+ | 0.2912 | 3.0 | 1140 | 0.2954 | 0.9978 |
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+ | 0.2912 | 4.0 | 1520 | 0.2954 | 0.9985 |
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+ | 0.2912 | 5.0 | 1900 | 0.2954 | 0.9985 |
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  ### Framework versions
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  - Transformers 4.48.0.dev0
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+ - Pytorch 2.8.0+cu126
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  - Datasets 4.0.0
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  - Tokenizers 0.21.4
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