End of training

README.md

@@ -0,0 +1,62 @@
+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: Covid_Vaccine_Sentiment_Analysis_Roberta_Model
+  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. -->
+
+# Covid_Vaccine_Sentiment_Analysis_Roberta_Model
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6517
+
+## 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: 5e-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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.7773        | 0.5   | 500  | 0.7515          |
+| 0.755         | 1.0   | 1000 | 0.6408          |
+| 0.6406        | 1.5   | 1500 | 0.6199          |
+| 0.6047        | 2.0   | 2000 | 0.5906          |
+| 0.4643        | 2.5   | 2500 | 0.6549          |
+| 0.4451        | 3.0   | 3000 | 0.6517          |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:50ffa24e722993e36a64d0cb72cc8e5abc8ebe7e0f54fad77bfef1b7ea7fa65d
+oid sha256:d764275cac4a7880194ebd4aedb71c9945fba2cbad728e08ad97771fea04ddb9
 size 498660721