End of training

README.md

@@ -0,0 +1,93 @@
+---
+license: mit
+base_model: xlm-roberta-large
+tags:
+- generated_from_trainer
+datasets:
+- conll2003job
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: my_xlm-roberta-large-finetuned-conlljob03
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: conll2003job
+      type: conll2003job
+      config: conll2003job
+      split: validation
+      args: conll2003job
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9592654424040067
+    - name: Recall
+      type: recall
+      value: 0.9670144732413329
+    - name: F1
+      type: f1
+      value: 0.9631243714381496
+    - name: Accuracy
+      type: accuracy
+      value: 0.9933024414937113
+---
+
+<!-- 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. -->
+
+# my_xlm-roberta-large-finetuned-conlljob03
+
+This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the conll2003job dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0364
+- Precision: 0.9593
+- Recall: 0.9670
+- F1: 0.9631
+- Accuracy: 0.9933
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1596        | 1.0   | 896  | 0.0385          | 0.9393    | 0.9556 | 0.9474 | 0.9915   |
+| 0.0298        | 2.0   | 1792 | 0.0377          | 0.9532    | 0.9594 | 0.9563 | 0.9920   |
+| 0.0158        | 3.0   | 2688 | 0.0339          | 0.9579    | 0.9658 | 0.9619 | 0.9931   |
+| 0.0087        | 4.0   | 3584 | 0.0364          | 0.9593    | 0.9670 | 0.9631 | 0.9933   |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4c9ce47e81fe33596cbf17067bc636d1603e46738dd57ecc041b6c8fa9b8948
+oid sha256:51b2cdd6c2a1d4b22d052d2ae06d010147b049f3251d5015ccc7c1ac882e37d0
 size 2235543782