baby-dev
/

test-default-01

@@ -1,165 +1,41 @@
----
-library_name: peft
-base_model: HuggingFaceM4/tiny-random-LlamaForCausalLM
-tags:
-- axolotl
-- generated_from_trainer
-model-index:
-- name: test-default-01
-  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: HuggingFaceM4/tiny-random-LlamaForCausalLM
-bf16: true
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - c730d273ec840a60_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/c730d273ec840a60_train_data.json
-  type:
-    field_input: rows
-    field_instruction: code
-    field_output: name
-    format: '{instruction} {input}'
-    no_input_format: '{instruction}'
-    system_format: '{system}'
-    system_prompt: ''
-debug: null
-deepspeed: null
-device_map: auto
-do_eval: true
-early_stopping_patience: 5
-eval_batch_size: 4
-eval_max_new_tokens: 128
-eval_steps: 50
-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: baby-dev/test-default-01
-hub_repo: null
-hub_strategy: end
-hub_token: null
-learning_rate: 0.0002
-load_in_4bit: false
-load_in_8bit: false
-local_rank: null
-logging_steps: 10
-lora_alpha: 64
-lora_dropout: 0.05
-lora_fan_in_fan_out: null
-lora_model_dir: null
-lora_r: 32
-lora_target_linear: true
-lr_scheduler: constant
-max_grad_norm: 1.0
-max_memory:
-  0: 75GB
-max_steps: 250
-micro_batch_size: 2
-mlflow_experiment_name: /tmp/c730d273ec840a60_train_data.json
-model_type: AutoModelForCausalLM
-num_epochs: 3
-optim_args:
-  adam_beta1: 0.9
-  adam_beta2: 0.95
-  adam_epsilon: 1e-5
-optimizer: adamw_bnb_8bit
-output_dir: miner_id_24
-pad_to_sequence_len: true
-resume_from_checkpoint: null
-s2_attention: null
-sample_packing: false
-save_steps: 50
-saves_per_epoch: null
-sequence_len: 512
-strict: false
-tf32: true
-tokenizer_type: AutoTokenizer
-train_on_inputs: false
-trust_remote_code: true
-val_set_size: 0.05
-wandb_entity: null
-wandb_mode: online
-wandb_name: 2b8100bd-e191-4852-9932-fc6745a83a32
-wandb_project: SN56-43
-wandb_run: your_name
-wandb_runid: 2b8100bd-e191-4852-9932-fc6745a83a32
-warmup_steps: 10
-weight_decay: 0.0
-xformers_attention: null
-```
-</details><br>
-# test-default-01
-This model is a fine-tuned version of [HuggingFaceM4/tiny-random-LlamaForCausalLM](https://huggingface.co/HuggingFaceM4/tiny-random-LlamaForCausalLM) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 10.0458
-## 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: 4
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 8
-- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
-- lr_scheduler_type: constant
-- lr_scheduler_warmup_steps: 10
-- training_steps: 250
-### Training results
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0017 | 1    | 10.3633         |
-| 10.1286       | 0.0846 | 50   | 10.1285         |
-| 10.0127       | 0.1693 | 100  | 10.0565         |
-| 10.0111       | 0.2539 | 150  | 10.0516         |
-| 10.0149       | 0.3386 | 200  | 10.0488         |
-| 10.0091       | 0.4232 | 250  | 10.0458         |
-### Framework versions
-- PEFT 0.13.2
-- Transformers 4.46.0
-- Pytorch 2.5.0+cu124
-- Datasets 3.0.1
 - Tokenizers 0.20.1

+---
+library_name: peft
+base_model: HuggingFaceM4/tiny-random-LlamaForCausalLM
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: test-default-01
+  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)
+# test-default-01
+This model is a fine-tuned version of [HuggingFaceM4/tiny-random-LlamaForCausalLM](https://huggingface.co/HuggingFaceM4/tiny-random-LlamaForCausalLM) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 10.0458
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+### Framework versions
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
 - Tokenizers 0.20.1