Training complete

README.md

@@ -0,0 +1,68 @@
+---
+license: mit
+base_model: FacebookAI/xlm-roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: xlm-roberta-large-ner-mit-restaurant
+  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. -->
+
+# xlm-roberta-large-ner-mit-restaurant
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2878
+- Precision: 0.7946
+- Recall: 0.8163
+- F1: 0.8053
+- Accuracy: 0.9207
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.5719        | 1.0   | 863  | 0.3267          | 0.7623    | 0.7970 | 0.7793 | 0.9081   |
+| 0.2467        | 2.0   | 1726 | 0.2783          | 0.7990    | 0.8195 | 0.8092 | 0.9191   |
+| 0.1811        | 3.0   | 2589 | 0.2897          | 0.8129    | 0.8348 | 0.8237 | 0.9237   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Mar19_20-32-39_0af581565a47/events.out.tfevents.1710881541.0af581565a47.1003.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf8cb9c57a43b078163f86e250b5afa8bf8d13a1e630e022fa4941c31663e831
+size 560