End of training

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: microsoft/Phi-3-mini-4k-instruct
+model-index:
+- name: isafpr-phi3-lora
+  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+base_model: microsoft/Phi-3-mini-4k-instruct
+trust_remote_code: true
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+chat_template: phi_3
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: data/isaf_press_releases_ft.jsonl
+    conversation: alpaca
+    type: sharegpt
+
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/phi3/lora-out
+hub_model_id: strickvl/isafpr-phi3-lora
+
+sequence_len: 2048
+sample_packing: true
+pad_to_sequence_len: true
+
+adapter: lora
+lora_model_dir:
+lora_r: 64
+lora_alpha: 32
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+wandb_project: isaf_pr_ft
+wandb_entity: strickvl
+
+gradient_accumulation_steps: 1
+micro_batch_size: 2
+num_epochs: 1
+optimizer: adamw_torch
+adam_beta2: 0.95
+adam_epsilon: 0.00001
+max_grad_norm: 1.0
+lr_scheduler: cosine
+learning_rate: 5.0e-6
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: True
+early_stopping_patience: 3
+logging_steps: 1
+flash_attention: true
+
+eval_steps: 1000
+save_steps: 5000
+eval_table_size: 2
+eval_batch_size: 2
+eval_sample_packing: false
+eval_max_new_tokens: 32
+eval_causal_lm_metrics: ["perplexity"]
+do_causal_lm_eval: true
+
+warmup_ratio: 0.2
+debug: true
+weight_decay: 0.1
+resize_token_embeddings_to_32x: true
+
+```
+
+</details><br>
+
+# isafpr-phi3-lora
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2970
+
+## 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: 5e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 4
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 53
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 7.0334        | 0.0038 | 1    | 3.2970          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.bin

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