End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+base_model: bert-base-multilingual-cased
+model-index:
+- name: nlp-classification-comic-name-weighdecay-0.001-lr-1e-3
+  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. -->
+
+# nlp-classification-comic-name-weighdecay-0.001-lr-1e-3
+
+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: 0.0339
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.9925
+
+## 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: 0.00025
+- train_batch_size: 30
+- eval_batch_size: 30
+- 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 | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 27   | 0.0356          | 0.0       | 0.0    | 0.0 | 0.9913   |
+| No log        | 2.0   | 54   | 0.0366          | 0.0       | 0.0    | 0.0 | 0.9921   |
+| No log        | 3.0   | 81   | 0.0345          | 0.0       | 0.0    | 0.0 | 0.9921   |
+| No log        | 4.0   | 108  | 0.0346          | 0.0       | 0.0    | 0.0 | 0.9921   |
+| No log        | 5.0   | 135  | 0.0341          | 0.0       | 0.0    | 0.0 | 0.9921   |
+| No log        | 6.0   | 162  | 0.0337          | 0.0       | 0.0    | 0.0 | 0.9921   |
+| No log        | 7.0   | 189  | 0.0345          | 0.0       | 0.0    | 0.0 | 0.9929   |
+| No log        | 8.0   | 216  | 0.0338          | 0.0       | 0.0    | 0.0 | 0.9925   |
+| No log        | 9.0   | 243  | 0.0338          | 0.0       | 0.0    | 0.0 | 0.9925   |
+| No log        | 10.0  | 270  | 0.0339          | 0.0       | 0.0    | 0.0 | 0.9925   |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0