update model card README.md

README.md

@@ -0,0 +1,62 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: mini-mlm-tweet
+  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. -->
+
+# mini-mlm-tweet
+
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.1171
+
+## 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: 3e-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: constant
+- num_epochs: 200
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.9227        | 11.11 | 500  | 3.8377          |
+| 3.4825        | 22.22 | 1000 | 3.7411          |
+| 3.2903        | 33.33 | 1500 | 3.8864          |
+| 3.1026        | 44.44 | 2000 | 3.6987          |
+| 2.9438        | 55.56 | 2500 | 3.9807          |
+| 2.8075        | 66.67 | 3000 | 3.8835          |
+| 2.6951        | 77.78 | 3500 | 4.1171          |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.7.1
+- Tokenizers 0.13.2