| | --- |
| | 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 |
| |
|
