First training complete

README.md

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+---
+license: mit
+base_model: FacebookAI/xlm-roberta-large
+tags:
+- generated_from_trainer
+datasets:
+- nergrit
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: roberta-finetuned-ner-nergrit-8H
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: nergrit
+      type: nergrit
+      config: nergrit_ner_seacrowd_seq_label
+      split: test
+      args: nergrit_ner_seacrowd_seq_label
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9846745534461797
+    - name: Recall
+      type: recall
+      value: 0.9845249365919796
+    - name: F1
+      type: f1
+      value: 0.9845997393352465
+    - name: Accuracy
+      type: accuracy
+      value: 0.9810623191027497
+---
+
+<!-- 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-finetuned-ner-nergrit-8H
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the nergrit dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0956
+- Precision: 0.9847
+- Recall: 0.9845
+- F1: 0.9846
+- Accuracy: 0.9811
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 0.9995 | 471  | 0.0984          | 0.9819    | 0.9822 | 0.9820 | 0.9782   |
+| 0.1862        | 1.9989 | 942  | 0.0940          | 0.9848    | 0.9834 | 0.9841 | 0.9802   |
+| 0.0843        | 2.9984 | 1413 | 0.0956          | 0.9847    | 0.9845 | 0.9846 | 0.9811   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Aug29_16-56-38_a2a9c631f076/events.out.tfevents.1724950799.a2a9c631f076.240.0

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