End of training

README.md

@@ -0,0 +1,162 @@
+---
+license: gemma
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: google/gemma-2b
+model-index:
+- name: isafpr-gemma-qlora-templatefree
+  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
+# use google/gemma-7b if you have access
+base_model: google/gemma-2b
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: data/templatefree_isaf_press_releases_ft_train.jsonl
+    type: input_output
+val_set_size: 0.1
+output_dir: ./outputs/gemma/qlora-out-templatefree
+hub_model_id: strickvl/isafpr-gemma-qlora-templatefree
+
+adapter: qlora
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_modules_to_save:
+ - embed_tokens
+ - lm_head
+
+sequence_len: 1024
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project: isaf_pr_ft
+wandb_entity: strickvl
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+
+gradient_accumulation_steps: 3
+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_ratio: 0.1
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+
+```
+
+</details><br>
+
+# isafpr-gemma-qlora-templatefree
+
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0379
+
+## 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: 3
+- total_train_batch_size: 12
+- 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: 64
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.3995        | 0.0054 | 1    | 2.3804          |
+| 0.1051        | 0.2527 | 47   | 0.0906          |
+| 0.0444        | 0.5054 | 94   | 0.0617          |
+| 0.0292        | 0.7581 | 141  | 0.0490          |
+| 0.1049        | 1.0108 | 188  | 0.0475          |
+| 0.03          | 1.2419 | 235  | 0.0435          |
+| 0.0219        | 1.4946 | 282  | 0.0411          |
+| 0.0286        | 1.7473 | 329  | 0.0413          |
+| 0.0403        | 2.0    | 376  | 0.0383          |
+| 0.0274        | 2.2330 | 423  | 0.0386          |
+| 0.0178        | 2.4857 | 470  | 0.0384          |
+| 0.0272        | 2.7384 | 517  | 0.0378          |
+| 0.0409        | 2.9910 | 564  | 0.0371          |
+| 0.013         | 3.2240 | 611  | 0.0378          |
+| 0.0177        | 3.4767 | 658  | 0.0380          |
+| 0.018         | 3.7294 | 705  | 0.0379          |
+
+
+### 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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:87f4b7d2d5bee43256a1cff3e53dce3dbb494fb668ba455fc3a7823382e8d74f
+size 2175690242