harshilj0310/distilbert-sentiment-analysis

README.md

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----
-license: unknown
----
+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: distilbert-base-uncased
+metrics:
+- accuracy
+model-index:
+- name: distilbert-sentiment-analysis
+  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-sentiment-analysis
+
+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: 0.1302
+- Accuracy: {'accuracy': 0.9528820856254484}
+
+## 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: 0.001
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy                         |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|
+| 0.2055        | 1.0   | 610  | 0.1353          | {'accuracy': 0.9492944271705334} |
+| 0.1416        | 2.0   | 1220 | 0.1264          | {'accuracy': 0.9521645539344654} |
+| 0.1115        | 3.0   | 1830 | 0.1302          | {'accuracy': 0.9528820856254484} |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

adapter_model.safetensors

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