diff --git a/justfile b/justfile
index 87c0316..4bc6c85 100644
--- a/justfile
+++ b/justfile
@@ -2,6 +2,7 @@
 
 
 sft:
+    . ./.venv/bin/activate
     ACCELERATE_LOG_LEVEL=info accelerate launch --config_file accelerate_configs/deepspeed_zero3.yaml scripts/run_simpo.py training_configs/llama-3-2-1b-base-sft.yaml
 
 
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..1b563d9
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,3578 @@
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+
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+name = "absl-py"
+version = "2.1.0"
+description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
+optional = false
+python-versions = ">=3.7"
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+]
+
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+version = "0.34.2"
+description = "Accelerate"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+huggingface-hub = ">=0.21.0"
+numpy = ">=1.17,<3.0.0"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.4.3"
+torch = ">=1.10.0"
+
+[package.extras]
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+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
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+
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+    {file = "yarl-1.13.1.tar.gz", hash = "sha256:ec8cfe2295f3e5e44c51f57272afbd69414ae629ec7c6b27f5a410efc78b70a0"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.10"
+content-hash = "7dccb92a66b8c2847ba4ec7fd8c4a116656dc4293c1fbc81043ac028c2f5deed"
diff --git a/training_configs/llama-3-2-1b-base-sft.yaml b/training_configs/llama-3-2-1b-base-sft.yaml
index e65e46b..6ed01ad 100644
--- a/training_configs/llama-3-2-1b-base-sft.yaml
+++ b/training_configs/llama-3-2-1b-base-sft.yaml
@@ -18,11 +18,11 @@ bf16: true
 do_eval: true
 evaluation_strategy: steps
 eval_steps: 200
-gradient_accumulation_steps: 4
+gradient_accumulation_steps: 1
 gradient_checkpointing: true
 gradient_checkpointing_kwargs:
   use_reentrant: False
-hub_model_id: zephyr-7b-sft-full
+hub_model_id: llama-3-2-1b-sft
 hub_strategy: every_save
 learning_rate: 2.0e-05
 log_level: info
@@ -32,11 +32,11 @@ lr_scheduler_type: cosine
 max_seq_length: 2048
 max_steps: -1
 num_train_epochs: 1
-output_dir: /scratch/gpfs/DANQIC/ym0081/checkpoints_new/llama-3-8b-sft
-run_name: llama-3-8b-sft
+output_dir: /workspace/checkpoints_new/llama-3-2-1b-sft
+run_name: llama-3-2-1b-sft
 overwrite_output_dir: true
-per_device_eval_batch_size: 8
-per_device_train_batch_size: 8
+per_device_eval_batch_size: 32
+per_device_train_batch_size: 32
 push_to_hub: false
 remove_unused_columns: true
 report_to: