End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+model-index:
+- name: isafpr-tiny-llama-lora-sharegpt
+  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: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+
+load_in_8bit: false
+# I'm training on 4090 GPUs
+# so I'm using 4-bit precision to save on memory
+load_in_4bit: true
+strict: false
+
+data_seed: 42
+seed: 42
+
+datasets:
+  - path: data/sharegpt_isaf_press_releases_ft_train.jsonl
+    type: sharegpt
+    conversation: alpaca
+dataset_prepared_path:
+val_set_size: 0.1
+output_dir: ./outputs/tiny-llama/lora-out-sharegpt
+hub_model_id: strickvl/isafpr-tiny-llama-lora-sharegpt
+
+sequence_len: 4096
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+adapter: lora
+lora_model_dir:
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+wandb_project: isaf_pr_ft
+wandb_entity: strickvl
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+
+```
+
+</details><br>
+
+# isafpr-tiny-llama-lora-sharegpt
+
+This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0507
+
+## 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: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.7687        | 0.0270 | 1    | 1.7719          |
+| 1.0632        | 0.2703 | 10   | 0.9033          |
+| 0.1374        | 0.5405 | 20   | 0.1365          |
+| 0.0763        | 0.8108 | 30   | 0.0942          |
+| 0.0752        | 1.0608 | 40   | 0.0765          |
+| 0.0764        | 1.3311 | 50   | 0.0680          |
+| 0.0623        | 1.6014 | 60   | 0.0630          |
+| 0.0596        | 1.8716 | 70   | 0.0593          |
+| 0.0523        | 2.1216 | 80   | 0.0570          |
+| 0.0514        | 2.3919 | 90   | 0.0543          |
+| 0.0501        | 2.6622 | 100  | 0.0528          |
+| 0.0475        | 2.9324 | 110  | 0.0515          |
+| 0.0525        | 3.1824 | 120  | 0.0511          |
+| 0.0436        | 3.4527 | 130  | 0.0509          |
+| 0.0508        | 3.7230 | 140  | 0.0507          |
+
+
+### 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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