End of training

README.md

@@ -0,0 +1,73 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: mbert-en-finetuned-sinta-e10
+  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. -->
+
+# mbert-en-finetuned-sinta-e10
+
+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: 0.1755
+- F1: 0.7669
+- Roc Auc: 0.8281
+- Accuracy: 0.4681
+
+## 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 | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| No log        | 1.0   | 141  | 0.2791          | 0.5873 | 0.7299  | 0.1631   |
+| No log        | 2.0   | 282  | 0.2282          | 0.7026 | 0.7830  | 0.3475   |
+| No log        | 3.0   | 423  | 0.2069          | 0.7022 | 0.7853  | 0.3546   |
+| 0.2721        | 4.0   | 564  | 0.1903          | 0.7344 | 0.8029  | 0.3901   |
+| 0.2721        | 5.0   | 705  | 0.1817          | 0.7467 | 0.8148  | 0.4397   |
+| 0.2721        | 6.0   | 846  | 0.1755          | 0.7669 | 0.8281  | 0.4681   |
+| 0.2721        | 7.0   | 987  | 0.1706          | 0.7628 | 0.8236  | 0.4539   |
+| 0.1659        | 8.0   | 1128 | 0.1666          | 0.7664 | 0.8292  | 0.4823   |
+| 0.1659        | 9.0   | 1269 | 0.1650          | 0.7626 | 0.8274  | 0.4681   |
+| 0.1659        | 10.0  | 1410 | 0.1645          | 0.7649 | 0.8290  | 0.4681   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6332c2dfd3b99ec710d369d15c3551ceeba0e0fa5fbfb78e4a3905cadea64b46
+oid sha256:8fb3a9604d92384525efd41b25757ac0f33e7147e5a0402896685ae166af7c7e
 size 711489604

runs/Sep21_09-20-20_7e8f64b81125/events.out.tfevents.1726910427.7e8f64b81125.28168.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7bea677650528271abd2fbd37b9f18e5a03ef3f4a2cb3235ea40de4569145912
-size 9963
+oid sha256:2644df396f13c1b117a036edc75a96006b7f0210afad5bed045140671179ac75
+size 10737

runs/Sep21_09-20-20_7e8f64b81125/events.out.tfevents.1726911804.7e8f64b81125.28168.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e9a04ed4776e3e90e74a213188140651717cb2f621bca1d1f91bf1b4253020e
+size 508