End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: unsloth/phi-4
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- tamewild/y1_sft_split
+model-index:
+- name: 14b_v1_fft
+  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: `0.7.0`
+```yaml
+base_model: unsloth/phi-4
+
+load_in_8bit: false
+load_in_4bit: false
+
+bf16: auto
+fp16: 
+tf32: false
+
+datasets:
+  - path: tamewild/y1_sft_split
+    split: train
+    type: chat_template
+    field_messages: conversation
+
+shuffle_merged_datasets: true
+
+test_datasets:
+  - path: tamewild/y1_sft_split
+    split: validation
+    type: chat_template
+    field_messages: conversation
+
+dataset_prepared_path: workspace/dataset_prepared
+
+hub_model_id: tamewild/14b_v1_fft
+
+hf_use_auth_token: true
+
+sequence_len: 9000
+pad_to_sequence_len: true
+sample_packing: true
+eval_sample_packing: true # disable if we get errors
+
+# wandb configuration if you're using it
+# Make sure your `WANDB_API_KEY` environment variable is set (recommended) or you login to wandb with `wandb login`.
+wandb_mode: # "offline" to save run metadata locally and not sync to the server, "disabled" to turn off wandb
+wandb_project: axolotl # Your wandb project name
+wandb_entity: # A wandb Team name if using a Team
+wandb_watch:
+wandb_name: # Set the name of your wandb run
+wandb_run_id: # Set the ID of your wandb run
+wandb_log_model: # "checkpoint" to log model to wandb Artifacts every `save_steps` or "end" to log only at the end of training
+
+output_dir: /workspace/tuned
+
+torch_compile: auto
+
+gradient_accumulation_steps: 2
+micro_batch_size: 8
+eval_batch_size: 8
+num_epochs: 1
+warmup_ratio: 0.01
+learning_rate: 4.5e-5
+logging_steps: 1
+eval_steps: # Leave empty to eval at each epoch, integer for every N steps. float for fraction of total steps
+evals_per_epoch: 4 # number of times per epoch to run evals, mutually exclusive with eval_steps
+save_steps: # Leave empty to save at each epoch, integer for every N steps. float for fraction of total steps
+saves_per_epoch: 4 # number of times per epoch to save a checkpoint, mutually exclusive with save_steps
+save_total_limit: 1 # Checkpoints saved at a time
+
+include_tokens_per_second: true
+
+train_on_inputs: false
+group_by_length: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+
+lr_scheduler: cosine
+lr_scheduler_kwargs:
+cosine_min_lr_ratio: 0.025
+
+optimizer: paged_adamw_8bit
+
+weight_decay: 0.01
+
+xformers_attention:
+flash_attention: true
+
+seed: 1234
+
+strict: false
+```
+
+</details><br>
+
+# 14b_v1_fft
+
+This model is a fine-tuned version of [unsloth/phi-4](https://huggingface.co/unsloth/phi-4) on the tamewild/y1_sft_split dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3468
+
+## 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: 4.5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1234
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Use paged_adamw_8bit 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: 3
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.7528        | 0.0033 | 1    | 0.7171          |
+| 0.3488        | 0.2504 | 77   | 0.3663          |
+| 0.3704        | 0.5008 | 154  | 0.3525          |
+| 0.3338        | 0.7512 | 231  | 0.3468          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+gitf929e0d
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 100257,
+  "do_sample": true,
+  "eos_token_id": 100265,
+  "pad_token_id": 100351,
+  "transformers_version": "4.48.3"
+}