End of training

README.md

@@ -0,0 +1,66 @@
+---
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: exp-no0-hack3
+  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. -->
+
+# exp-no0-hack3
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1971
+
+## 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: 1e-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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4397        | 1.0   | 443  | 0.4302          |
+| 0.2741        | 2.0   | 886  | 0.2767          |
+| 0.4316        | 3.0   | 1329 | 0.2856          |
+| 0.3033        | 4.0   | 1772 | 0.2203          |
+| 0.0856        | 5.0   | 2215 | 0.2243          |
+| 0.0484        | 6.0   | 2658 | 0.2258          |
+| 0.3601        | 7.0   | 3101 | 0.2291          |
+| 0.2423        | 8.0   | 3544 | 0.1641          |
+| 0.0145        | 9.0   | 3987 | 0.2100          |
+| 0.0884        | 10.0  | 4430 | 0.1971          |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aa86edb7703e156ee8ebb0705ee5cde33431e444ddee12d0ab27dc2abb1e03e2
+oid sha256:437afe5b220eb2a96e324530757e1c12b44490f6b396acdcf1130f168ec6cdf9
 size 711443456