FrinzTheCoder/xlm-roberta-base-chn

README.md

@@ -0,0 +1,66 @@
+---
+library_name: transformers
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: xlm-roberta-base-chn
+  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-base-chn
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1445
+- Accuracy: 0.8250
+- F1: 0.7458
+
+## 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: 0.0003
+- train_batch_size: 16
+- eval_batch_size: 8
+- 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 | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.1709        | 1.0   | 661  | 0.1446          | 0.8250   | 0.7458 |
+| 0.1558        | 2.0   | 1322 | 0.1452          | 0.8250   | 0.7458 |
+| 0.1499        | 3.0   | 1983 | 0.1444          | 0.8250   | 0.7458 |
+| 0.1449        | 4.0   | 2644 | 0.1445          | 0.8250   | 0.7458 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5c5e6e9e7c50f857e9446ce54594fb4c7e9779ddd94d3ff2e5031d893f90c05c
+oid sha256:f8e65968c7c9157b987f0e1a4b4b773e5672b88ef92d196cfba524e089d76151
 size 1112201932