Dr25_Abu_Mala_llama3.2

README.md

@@ -0,0 +1,69 @@
+---
+library_name: peft
+base_model: sarvamai/sarvam-1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: Dr25_Abu_Mala_llama321
+  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. -->
+
+# Dr25_Abu_Mala_llama321
+
+This model is a fine-tuned version of [sarvamai/sarvam-1](https://huggingface.co/sarvamai/sarvam-1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Accuracy: 0.5351
+- F1: 0.3731
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| 0.0           | 0.9829 | 43   | nan             | 0.5351   | 0.3731 |
+| 0.0           | 1.9829 | 86   | nan             | 0.5351   | 0.3731 |
+| 0.0           | 2.9829 | 129  | nan             | 0.5351   | 0.3731 |
+| 0.0           | 3.9829 | 172  | nan             | 0.5351   | 0.3731 |
+| 0.0           | 4.9829 | 215  | nan             | 0.5351   | 0.3731 |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.1
+- Pytorch 2.4.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0