Training completed!

README.md

@@ -0,0 +1,71 @@
+---
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: ConcSeqBERT-Katchers
+  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. -->
+
+# ConcSeqBERT-Katchers
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4739
+- Accuracy: 0.7904
+- F1: 0.7903
+
+## 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: 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 | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.4741        | 1.0   | 2522  | 0.4747          | 0.7773   | 0.7772 |
+| 0.4248        | 2.0   | 5044  | 0.4739          | 0.7904   | 0.7903 |
+| 0.3912        | 3.0   | 7566  | 0.5676          | 0.7838   | 0.7834 |
+| 0.3674        | 4.0   | 10088 | 0.6120          | 0.7916   | 0.7915 |
+| 0.3383        | 5.0   | 12610 | 0.7909          | 0.7907   | 0.7905 |
+| 0.3303        | 6.0   | 15132 | 0.8127          | 0.7886   | 0.7885 |
+| 0.3049        | 7.0   | 17654 | 0.9751          | 0.7890   | 0.7889 |
+| 0.2488        | 8.0   | 20176 | 1.0986          | 0.7800   | 0.7799 |
+| 0.2188        | 9.0   | 22698 | 1.1960          | 0.7762   | 0.7762 |
+| 0.1971        | 10.0  | 25220 | 1.2763          | 0.7761   | 0.7761 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.14.5
+- Tokenizers 0.14.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b22210cf39f2d716e296a105b2c1c198b9b294d1c9bdd9a4be0342cf9979773
+oid sha256:6e94f5f9f3f655b5bb43cb6068c8c2dd7531886f40f0abf75136535f60ef314d
 size 711443456

runs/May13_10-17-40_0551480a1390/events.out.tfevents.1715603816.0551480a1390.30465.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7e07380d946853daac274657d06260e4d0d3e41ec8f406f0b2ce17f58eea7e4
+size 464