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--- |
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library_name: transformers |
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base_model: giux78/test_544000 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- FairMind/bank-gpt-sft-alpha-v0.1.3 |
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model-index: |
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- name: ale_outputs/pre-bankgpt-v1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.9.2` |
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```yaml |
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base_model: giux78/test_544000 |
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# Automatically upload checkpoint and final model to HF |
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# hub_model_id: username/custom_model_name |
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strict: false |
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chat_template: qwen3 |
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datasets: |
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- path: FairMind/bank-gpt-sft-alpha-v0.1.3 |
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type: chat_template |
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field_messages: conversations |
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message_property_mappings: |
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role: from |
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content: value |
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val_set_size: 0.01 |
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output_dir: ./ale_outputs/pre-bankgpt-v1 |
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#do_bench_eval: true |
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#bench_dataset: /leonardo_work/EUHPC_A04_045/training/examples/qwen3/eval_mix_train.json |
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sequence_len: 4096 |
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sample_packing: true |
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eval_sample_packing: false |
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pad_to_sequence_len: true |
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gradient_accumulation_steps: 8 |
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micro_batch_size: 1 |
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num_epochs: 2 |
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#max_steps: 50 |
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optimizer: adamw_torch_fused |
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lr_scheduler: cosine |
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learning_rate: 4e-5 |
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bf16: auto |
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tf32: true |
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wandb_mode: "offline" |
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wandb_project: pre-bankgpt-v1 |
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wandb_entity: mii-llm |
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wandb_name: sft |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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resume_from_checkpoint: |
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logging_steps: 1 |
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flash_attention: true |
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warmup_ratio: 0.1 |
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evals_per_epoch: 5 |
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saves_per_epoch: 5 |
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weight_decay: 0.01 |
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fsdp: |
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- full_shard |
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- auto_wrap |
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fsdp_config: |
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fsdp_limit_all_gathers: true |
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fsdp_sync_module_states: true |
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fsdp_offload_params: true |
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fsdp_use_orig_params: false |
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fsdp_cpu_ram_efficient_loading: true |
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fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP |
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fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer |
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fsdp_state_dict_type: FULL_STATE_DICT |
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fsdp_sharding_strategy: FULL_SHARD |
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special_tokens: |
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pad_token: <|end_of_text|> |
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``` |
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</details><br> |
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# ale_outputs/pre-bankgpt-v1 |
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This model is a fine-tuned version of [giux78/test_544000](https://huggingface.co/giux78/test_544000) on the FairMind/bank-gpt-sft-alpha-v0.1.3 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 4e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 32 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 34 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 3.5521 | 0.0057 | 1 | nan | |
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| 3.4578 | 0.2001 | 35 | nan | |
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| 3.0539 | 0.4003 | 70 | nan | |
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| 2.9865 | 0.6004 | 105 | nan | |
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| 2.8058 | 0.8006 | 140 | nan | |
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| 5.5672 | 1.0057 | 175 | nan | |
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| 2.7383 | 1.2059 | 210 | nan | |
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| 2.7784 | 1.4060 | 245 | nan | |
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| 2.744 | 1.6061 | 280 | nan | |
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| 2.6877 | 1.8063 | 315 | nan | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.5.1 |
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- Tokenizers 0.21.1 |
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