End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,71 +1,57 @@
 ---
 base_model: meta-llama/Llama-3.2-1B
-datasets:
-- scitldr
-library_name: peft
-license: llama3.2
+library_name: transformers
+model_name: Llama-3.2-1B-Summarization-QLoRa
 tags:
 - generated_from_trainer
-model-index:
-- name: Llama-3.2-1B-Summarization-QLoRa
-  results: []
+- trl
+- sft
+licence: license
 ---
 
-<!-- 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. -->
+# Model Card for Llama-3.2-1B-Summarization-QLoRa
 
-# Llama-3.2-1B-Summarization-QLoRa
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B).
+It has been trained using [TRL](https://github.com/huggingface/trl).
 
-This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the scitldr dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.5948
+## Quick start
 
-## Model description
+```python
+from transformers import pipeline
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="pkbiswas/Llama-3.2-1B-Summarization-QLoRa", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
 
 ## Training procedure
 
-### Training hyperparameters
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/pkbiswas-verizon/huggingface/runs/tnejvjab)
 
-The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 2
-- num_epochs: 2
-- mixed_precision_training: Native AMP
+This model was trained with SFT.
 
-### Training results
+### Framework versions
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 2.5121        | 0.2008 | 200  | 2.5718          |
-| 2.485         | 0.4016 | 400  | 2.5652          |
-| 2.4865        | 0.6024 | 600  | 2.5660          |
-| 2.4767        | 0.8032 | 800  | 2.5562          |
-| 2.4744        | 1.0040 | 1000 | 2.5508          |
-| 2.137         | 1.2048 | 1200 | 2.5899          |
-| 2.1268        | 1.4056 | 1400 | 2.5914          |
-| 2.108         | 1.6064 | 1600 | 2.5874          |
-| 2.0804        | 1.8072 | 1800 | 2.5948          |
+- TRL: 0.12.1
+- Transformers: 4.46.2
+- Pytorch: 2.5.1+cu121
+- Datasets: 3.1.0
+- Tokenizers: 0.20.3
+
+## Citations
 
 
-### Framework versions
 
-- PEFT 0.13.2
-- Transformers 4.44.2
-- Pytorch 2.5.0+cu121
-- Datasets 3.0.2
-- Tokenizers 0.19.1
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

adapter_config.json

@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
+    "q_proj",
     "up_proj",
-    "gate_proj",
     "down_proj",
     "k_proj",
+    "v_proj",
     "o_proj",
-    "q_proj"
+    "gate_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1bbaf748ce2a57db9c6185530e8f90efe9c3ef68965f1ccbb44cf55cba675f75
+oid sha256:a1d35ddbd3ffcbce10f5013d65d880eeba4ecfc93e1068a728798e096516dd45
 size 45118424

runs/Nov17_03-26-00_510a8698afae/events.out.tfevents.1731814003.510a8698afae.247.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8bdc5eac1bafc5bfd89405ce357b899c116f9433b4ac3ebdc03b9072e8d4f3cd
+size 10347

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bdaf7306f331551cde9f4cc36f7fd53fbb6d57feefbfaed6342bde0284410cad
-size 5240
+oid sha256:a590901d37a372144280fe551b3905773c523adf287405c06d1a2f08946d8f65
+size 5560