End of training

README.md

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+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen2.5-Coder-3B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- mhhmm/typescript-instruct-20k
+model-index:
+- name: Qwen2.5-Coder-3B-Instruct-TS
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.6.0`
+```yaml
+# axolotl_config.yaml
+
+# Model configuration
+base_model: Qwen/Qwen2.5-Coder-3B-Instruct
+hub_model_id: mrcuddle/Qwen2.5-Coder-3B-Instruct-TS
+
+# Training parameters
+learning_rate: 0.0001  # Adjusted for potential stability improvement
+train_batch_size: 4  # Increased for better gradient estimates
+eval_batch_size: 4  # Increased for better evaluation stability
+num_epochs: 1
+lr_scheduler_type: cosine
+lr_scheduler_warmup_steps: 10
+gradient_accumulation_steps: 2
+micro_batch_size: 1
+
+
+# Distributed training settings
+distributed_type: GPU
+num_devices: 2  # Adjusted to utilize multiple GPUs if available
+total_train_batch_size: 8  # Adjusted to match train_batch_size * num_devices * gradient_accumulation_steps
+total_eval_batch_size: 8  # Adjusted to match eval_batch_size * num_devices * gradient_accumulation_steps
+
+# Random seed for reproducibility
+seed: 42
+
+datasets:
+  - path: mhhmm/typescript-instruct-20k
+    type: alpaca
+    field_instruction: instruction
+    field_output: output
+    format: "[INST] {instruction} [/INST]\n{output}"
+    no_input_format: "[INST] {instruction} [/INST]"
+    roles:
+      input: ["USER"]
+      output: ["ASSISTANT"]
+
+```
+
+</details><br>
+
+# Qwen2.5-Coder-3B-Instruct-TS
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct) on the mhhmm/typescript-instruct-20k dataset.
+
+## 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: 1
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 2
+- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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