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albertmartinez
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distilbert-multilingual-sdg-classification

Text Classification
Transformers
ONNX
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
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  1. README.md +17 -15
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  ---
 
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  license: apache-2.0
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  base_model: distilbert/distilbert-base-multilingual-cased
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  tags:
@@ -17,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7341
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- - F1: 0.7954
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  ## Model description
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@@ -37,29 +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: 2e-05
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- - train_batch_size: 32
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- - eval_batch_size: 32
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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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  - lr_scheduler_warmup_steps: 600
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  - num_epochs: 5.0
 
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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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- | 1.484 | 1.0 | 1076 | 0.8800 | 0.7463 |
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- | 0.7957 | 2.0 | 2152 | 0.7796 | 0.7735 |
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- | 0.612 | 3.0 | 3228 | 0.7352 | 0.7904 |
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- | 0.4784 | 4.0 | 4304 | 0.7243 | 0.7948 |
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- | 0.3959 | 5.0 | 5380 | 0.7341 | 0.7954 |
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  ### Framework versions
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- - Transformers 4.43.2
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- - Pytorch 2.4.0+cu121
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- - Datasets 2.20.0
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- - Tokenizers 0.19.1
 
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  ---
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+ library_name: transformers
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  license: apache-2.0
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  base_model: distilbert/distilbert-base-multilingual-cased
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  tags:
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8076
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+ - F1: 0.7706
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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: 1e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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  - seed: 42
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+ - optimizer: Use adamw_torch 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_steps: 600
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  - num_epochs: 5.0
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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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 2.1669 | 1.0 | 538 | 1.2066 | 0.6552 |
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+ | 1.0784 | 2.0 | 1076 | 0.9131 | 0.7414 |
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+ | 0.8756 | 3.0 | 1614 | 0.8408 | 0.7614 |
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+ | 0.7817 | 4.0 | 2152 | 0.8136 | 0.7688 |
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+ | 0.7337 | 5.0 | 2690 | 0.8076 | 0.7706 |
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  ### Framework versions
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+ - Transformers 4.49.0.dev0
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+ - Pytorch 2.1.2.post304
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0