Model save

README.md

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+---
+library_name: transformers
+base_model: MHGanainy/roberta-base-legal-multi
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-downstream-ecthr-a
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# roberta-base-downstream-ecthr-a
+
+This model is a fine-tuned version of [MHGanainy/roberta-base-legal-multi](https://huggingface.co/MHGanainy/roberta-base-legal-multi) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3333
+- Macro-f1: 0.0290
+- Micro-f1: 0.1652
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 1
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| No log        | 1.0   | 4    | 0.4125          | 0.0290   | 0.1652   |
+| No log        | 2.0   | 8    | 0.3446          | 0.0290   | 0.1652   |
+| No log        | 3.0   | 12   | 0.3344          | 0.0290   | 0.1652   |
+| No log        | 4.0   | 16   | 0.3333          | 0.0290   | 0.1652   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1