update model card README.md

README.md

@@ -0,0 +1,67 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-base-uncased-finetuned-char
+  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. -->
+
+# distilbert-base-uncased-finetuned-char
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5972
+
+## 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: 256
+- eval_batch_size: 256
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.1436        | 0.85  | 500  | 1.8943          |
+| 1.8911        | 1.71  | 1000 | 1.8065          |
+| 1.8073        | 2.56  | 1500 | 1.7359          |
+| 1.7668        | 3.41  | 2000 | 1.6907          |
+| 1.733         | 4.27  | 2500 | 1.6564          |
+| 1.7104        | 5.12  | 3000 | 1.6499          |
+| 1.6915        | 5.97  | 3500 | 1.6258          |
+| 1.6772        | 6.83  | 4000 | 1.6089          |
+| 1.6617        | 7.68  | 4500 | 1.5982          |
+| 1.6563        | 8.53  | 5000 | 1.6035          |
+| 1.649         | 9.39  | 5500 | 1.5764          |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3