rishavranaut/Llama3_8B_Task2_semantic_pred

README.md

@@ -0,0 +1,71 @@
+---
+license: llama3
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: meta-llama/Meta-Llama-3-8B
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: Llama3_8B_Task2_semantic_pred
+  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. -->
+
+# Llama3_8B_Task2_semantic_pred
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0217
+- Accuracy: 0.6102
+- Precision: 0.6102
+- Recall: 0.6102
+- F1 score: 0.6102
+
+## 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: 0.0001
+- train_batch_size: 16
+- 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 | Accuracy | Precision | Recall | F1 score |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
+| 0.49          | 0.5208 | 200  | 0.9015          | 0.5750   | 0.5750    | 0.5750 | 0.5750   |
+| 0.439         | 1.0417 | 400  | 1.2361          | 0.5541   | 0.5541    | 0.5541 | 0.5541   |
+| 0.2744        | 1.5625 | 600  | 0.4804          | 0.7744   | 0.7744    | 0.7744 | 0.7744   |
+| 0.2621        | 2.0833 | 800  | 1.2460          | 0.5658   | 0.5658    | 0.5658 | 0.5658   |
+| 0.1921        | 2.6042 | 1000 | 1.0217          | 0.6102   | 0.6102    | 0.6102 | 0.6102   |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.44.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:05ddd99b48ef18864213070d374f757b1559f971046c7b63210348126f2760db
+oid sha256:fdc4cc91037087574bcf7f4d7beb2814f1d45c30b6375395d47ba2d0d9e6ff6d
 size 54593240