Training complete

README.md

@@ -0,0 +1,62 @@
+---
+license: apache-2.0
+base_model: bert-base-multilingual-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-base-multilingual-uncased-fire-classification-silvanus
+  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. -->
+
+# bert-base-multilingual-uncased-fire-classification-silvanus
+
+This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3995
+- Accuracy: 0.9099
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 233  | 0.3059          | 0.8927   |
+| No log        | 2.0   | 466  | 0.3349          | 0.9013   |
+| 0.3183        | 3.0   | 699  | 0.3995          | 0.9099   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

runs/Jan31_11-57-24_server-cvis/events.out.tfevents.1706702258.server-cvis.759199.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a201a4fc22839756665fc44bcd2a129e604140a73539e8bc3ff226ad07f84ad0
-size 4888
+oid sha256:7e69d8302f1c8eb5c3294a0a7a259c753225a066f11b2cb8e9a7a13bf43e2659
+size 6045