End of training

README.md

@@ -0,0 +1,158 @@
+---
+library_name: peft
+license: apache-2.0
+base_model: TinyLlama/TinyLlama_v1.1
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 6d20e916-0301-420f-ac45-15677684fd9f
+  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: `0.4.1`
+```yaml
+adapter: lora
+base_model: TinyLlama/TinyLlama_v1.1
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 2bfee70655ebbccb_train_data.json
+  ds_type: json
+  field: content
+  path: /workspace/input_data/2bfee70655ebbccb_train_data.json
+  type: completion
+debug: null
+distributed_type: ddp
+early_stopping_patience: null
+eval_max_new_tokens: 128
+eval_table_size: null
+evals_per_epoch: 4
+flash_attention: true
+fp16: null
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: fats-fme/6d20e916-0301-420f-ac45-15677684fd9f
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: true
+local_rank: null
+logging_steps: 1
+lora_alpha: 32
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lr_scheduler: cosine
+max_memory_MB: 40000
+max_steps: 1800
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/2bfee70655ebbccb_train_data.json
+model_type: AutoModelForCausalLM
+num_devices: 2
+num_epochs: 3
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+saves_per_epoch: 4
+sequence_len: 2048
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: 6d20e916-0301-420f-ac45-15677684fd9f
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 6d20e916-0301-420f-ac45-15677684fd9f
+warmup_steps: 100
+world_size: 2
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 6d20e916-0301-420f-ac45-15677684fd9f
+
+This model is a fine-tuned version of [TinyLlama/TinyLlama_v1.1](https://huggingface.co/TinyLlama/TinyLlama_v1.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4870
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_BNB 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: 100
+- training_steps: 82
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.4795        | 0.0369 | 1    | 1.4870          |
+| 1.4298        | 0.2581 | 7    | 1.4870          |
+| 1.4654        | 0.5161 | 14   | 1.4870          |
+| 1.4517        | 0.7742 | 21   | 1.4870          |
+| 2.7678        | 1.0323 | 28   | 1.4870          |
+| 1.3889        | 1.2903 | 35   | 1.4870          |
+| 1.4608        | 1.5484 | 42   | 1.4870          |
+| 1.4305        | 1.8065 | 49   | 1.4870          |
+| 1.5073        | 2.0645 | 56   | 1.4870          |
+| 1.4382        | 2.3226 | 63   | 1.4870          |
+| 1.4362        | 2.5806 | 70   | 1.4870          |
+| 1.4102        | 2.8387 | 77   | 1.4870          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b8e09c4817d6e4e938af764b8923c1b1ebf292d9eca81780705ff0563f1ab81
+size 50573530