End of training

README.md

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+---
+library_name: peft
+license: bigscience-bloom-rail-1.0
+base_model: bigscience/bloom-560m
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: c9014b2e-4cf8-4380-a7b9-319dcd8bb12a
+  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: qlora
+auto_resume_from_checkpoints: true
+base_model: bigscience/bloom-560m
+bf16: auto
+chat_template: llama3
+dataloader_num_workers: 12
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 084d4537100cb186_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/084d4537100cb186_train_data.json
+  type:
+    field_input: langpair
+    field_instruction: source
+    field_output: good-translation
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 3
+eval_max_new_tokens: 128
+eval_steps: 100
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: false
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+group_by_length: true
+hub_model_id: error577/c9014b2e-4cf8-4380-a7b9-319dcd8bb12a
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: true
+load_in_8bit: false
+local_rank: null
+logging_steps: 10
+lora_alpha: 128
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 64
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: null
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/084d4537100cb186_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_torch_4bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 100
+sequence_len: 512
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.005
+wandb_entity: null
+wandb_mode: online
+wandb_name: 15f4c23f-d52e-4354-806b-0c5da0374350
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 15f4c23f-d52e-4354-806b-0c5da0374350
+warmup_steps: 30
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# c9014b2e-4cf8-4380-a7b9-319dcd8bb12a
+
+This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5994
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH_4BIT 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: 30
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0002 | 1    | 4.4030          |
+| 6.5189        | 0.0222 | 100  | 2.6937          |
+| 7.8292        | 0.0444 | 200  | 2.4313          |
+| 5.3937        | 0.0666 | 300  | 2.3118          |
+| 7.8199        | 0.0888 | 400  | 2.2125          |
+| 5.4877        | 0.1110 | 500  | 2.1706          |
+| 4.9892        | 0.1332 | 600  | 2.0680          |
+| 5.6608        | 0.1554 | 700  | 2.0517          |
+| 4.671         | 0.1776 | 800  | 2.0242          |
+| 6.3505        | 0.1998 | 900  | 1.8601          |
+| 4.1893        | 0.2220 | 1000 | 1.8662          |
+| 4.8748        | 0.2441 | 1100 | 1.8771          |
+| 5.0172        | 0.2663 | 1200 | 1.8052          |
+| 5.2344        | 0.2885 | 1300 | 1.8127          |
+| 4.4286        | 0.3107 | 1400 | 1.7529          |
+| 4.4394        | 0.3329 | 1500 | 1.7735          |
+| 4.4868        | 0.3551 | 1600 | 1.6954          |
+| 4.6618        | 0.3773 | 1700 | 1.7275          |
+| 4.6153        | 0.3995 | 1800 | 1.6793          |
+| 5.0591        | 0.4217 | 1900 | 1.7122          |
+| 3.6119        | 0.4439 | 2000 | 1.6413          |
+| 3.9039        | 0.4661 | 2100 | 1.6450          |
+| 4.1736        | 0.4883 | 2200 | 1.6268          |
+| 4.7935        | 0.5105 | 2300 | 1.6143          |
+| 4.0114        | 0.5327 | 2400 | 1.5969          |
+| 3.9156        | 0.5549 | 2500 | 1.5649          |
+| 4.5978        | 0.5771 | 2600 | 1.5713          |
+| 3.7863        | 0.5993 | 2700 | 1.5953          |
+| 3.469         | 0.6215 | 2800 | 1.5994          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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