End of training

README.md

@@ -0,0 +1,69 @@
+---
+language:
+- ta
+license: llama2
+library_name: peft
+tags:
+- trl
+- sft
+- Tamil-ASR, ASR-fine-tuning, Tamil-llama
+- generated_from_trainer
+base_model: abhinand/tamil-llama-7b-instruct-v0.1
+model-index:
+- name: tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning
+  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. -->
+
+# tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning
+
+This model is a fine-tuned version of [abhinand/tamil-llama-7b-instruct-v0.1](https://huggingface.co/abhinand/tamil-llama-7b-instruct-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.3527
+
+## 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: 0.0002
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 1500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.4659        | 2.58  | 500  | 4.2383          |
+| 1.9248        | 5.17  | 1000 | 4.6944          |
+| 1.4112        | 7.75  | 1500 | 5.3527          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.16.1
+- Tokenizers 0.15.1