End of training

README.md

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+---
+license: apache-2.0
+base_model: mnaylor/mega-base-wikitext
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: mega-base-wikitext-finetuned-INCIBE
+  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. -->
+
+# mega-base-wikitext-finetuned-INCIBE
+
+This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5428
+- Accuracy: 0.3760
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 196  | 1.8660          | 0.2296   |
+| No log        | 2.0   | 392  | 1.7639          | 0.2457   |
+| 1.9099        | 3.0   | 588  | 1.7296          | 0.2528   |
+| 1.9099        | 4.0   | 784  | 1.7125          | 0.2547   |
+| 1.9099        | 5.0   | 980  | 1.7017          | 0.2595   |
+| 1.7129        | 6.0   | 1176 | 1.6944          | 0.2946   |
+| 1.7129        | 7.0   | 1372 | 1.6882          | 0.2872   |
+| 1.6904        | 8.0   | 1568 | 1.6827          | 0.2830   |
+| 1.6904        | 9.0   | 1764 | 1.6742          | 0.3204   |
+| 1.6904        | 10.0  | 1960 | 1.6570          | 0.3312   |
+| 1.6668        | 11.0  | 2156 | 1.6293          | 0.3514   |
+| 1.6668        | 12.0  | 2352 | 1.6035          | 0.3555   |
+| 1.6166        | 13.0  | 2548 | 1.5813          | 0.3607   |
+| 1.6166        | 14.0  | 2744 | 1.5664          | 0.3671   |
+| 1.6166        | 15.0  | 2940 | 1.5578          | 0.3715   |
+| 1.5574        | 16.0  | 3136 | 1.5547          | 0.3715   |
+| 1.5574        | 17.0  | 3332 | 1.5444          | 0.3738   |
+| 1.5278        | 18.0  | 3528 | 1.5429          | 0.3760   |
+| 1.5278        | 19.0  | 3724 | 1.5402          | 0.3757   |
+| 1.5278        | 20.0  | 3920 | 1.5384          | 0.3738   |
+| 1.5141        | 21.0  | 4116 | 1.5351          | 0.3745   |
+| 1.5141        | 22.0  | 4312 | 1.5373          | 0.3738   |
+| 1.5091        | 23.0  | 4508 | 1.5356          | 0.3715   |
+| 1.5091        | 24.0  | 4704 | 1.5353          | 0.3730   |
+| 1.5091        | 25.0  | 4900 | 1.5349          | 0.3734   |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

pytorch_model.bin

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