done

README.md

@@ -1,12 +1,64 @@
 ---
+library_name: transformers
 license: apache-2.0
-datasets:
-- dair-ai/emotion
-language:
-- en
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
 metrics:
-- accuracy
-base_model:
-- distilbert/distilbert-base-uncased
-pipeline_tag: text-classification
----
+- f1
+model-index:
+- name: Sentiment_tweets_distilbert
+  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. -->
+
+# Sentiment_tweets_distilbert
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1525
+- F1: 0.9359
+- Acc: 0.936
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Acc    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 0.6076        | 1.0   | 500  | 0.2243          | 0.9192 | 0.9185 |
+| 0.1641        | 2.0   | 1000 | 0.1684          | 0.9297 | 0.93   |
+| 0.1195        | 3.0   | 1500 | 0.1525          | 0.9359 | 0.936  |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1
+- Datasets 3.1.0
+- Tokenizers 0.20.3

runs/Nov21_21-29-00_Aadityas-MacBook-Pro.local/events.out.tfevents.1732204740.Aadityas-MacBook-Pro.local.10553.0

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