End of training

README.md

@@ -0,0 +1,66 @@
+---
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: baseline001-noQA-20230913
+  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. -->
+
+# baseline001-noQA-20230913
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.0346
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 200  | 3.2409          |
+| No log        | 2.0   | 400  | 3.0835          |
+| 3.2104        | 3.0   | 600  | 3.2733          |
+| 3.2104        | 4.0   | 800  | 3.5029          |
+| 1.6558        | 5.0   | 1000 | 3.8114          |
+| 1.6558        | 6.0   | 1200 | 4.1583          |
+| 1.6558        | 7.0   | 1400 | 4.5349          |
+| 0.7475        | 8.0   | 1600 | 4.8084          |
+| 0.7475        | 9.0   | 1800 | 4.9235          |
+| 0.4025        | 10.0  | 2000 | 5.0346          |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3