End of training

README.md

@@ -1,3 +1,157 @@
----
-license: apache-2.0
----
+---
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+library_name: peft
+license: apache-2.0
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: isafpr-tiny-llama-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: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+
+load_in_8bit: true
+load_in_4bit: false
+strict: false
+
+data_seed: 2606
+seed: 2606
+
+datasets:
+  - path: data/templatefree_isaf_press_releases_ft_train.jsonl
+    type: input_output
+dataset_prepared_path:
+val_set_size: 0.1
+output_dir: tiny-llama/lora-out
+hub_model_id: Peaky8linders/isafpr-tiny-llama-lora
+
+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:
+wandb_entity:
+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:
+
+```
+
+</details><br>
+
+# isafpr-tiny-llama-lora
+
+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: 0.0395
+
+## 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: 2606
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.7938        | 0.0138 | 1    | 1.7961          |
+| 0.2755        | 0.2483 | 18   | 0.2099          |
+| 0.0937        | 0.4966 | 36   | 0.0798          |
+| 0.0625        | 0.7448 | 54   | 0.0646          |
+| 0.0507        | 0.9931 | 72   | 0.0581          |
+| 0.0466        | 1.2138 | 90   | 0.0516          |
+| 0.0391        | 1.4621 | 108  | 0.0485          |
+| 0.0534        | 1.7103 | 126  | 0.0457          |
+| 0.0611        | 1.9586 | 144  | 0.0439          |
+| 0.0281        | 2.1793 | 162  | 0.0434          |
+| 0.0382        | 2.4276 | 180  | 0.0416          |
+| 0.031         | 2.6759 | 198  | 0.0407          |
+| 0.0278        | 2.9241 | 216  | 0.0400          |
+| 0.0377        | 3.1448 | 234  | 0.0397          |
+| 0.0247        | 3.3931 | 252  | 0.0400          |
+| 0.0419        | 3.6414 | 270  | 0.0395          |
+| 0.0273        | 3.8897 | 288  | 0.0395          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.1.2+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.bin

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