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End of training

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  1. README.md +0 -121
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@@ -13,100 +13,6 @@ model-index:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- [<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)
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- <details><summary>See axolotl config</summary>
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-
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- axolotl version: `0.4.1`
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- ```yaml
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- adapter: lora
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- base_model: unsloth/Phi-3.5-mini-instruct
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- bf16: auto
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- chat_template: llama3
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- dataset_prepared_path: null
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- datasets:
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- - data_files:
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- - 6ccb08d696fad6db_train_data.json
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- ds_type: json
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- format: custom
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- path: /workspace/input_data/6ccb08d696fad6db_train_data.json
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- type:
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- field_instruction: prompt
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- field_output: question
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- format: '{instruction}'
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- no_input_format: '{instruction}'
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- system_format: '{system}'
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- system_prompt: ''
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- debug: null
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- deepspeed: null
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- device_map: auto
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- do_eval: true
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- early_stopping_patience: 3
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- eval_batch_size: 4
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- eval_max_new_tokens: 128
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- eval_steps: 300
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- eval_table_size: null
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- evals_per_epoch: null
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- flash_attention: true
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- fp16: false
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- fsdp: null
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- fsdp_config: null
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- gradient_accumulation_steps: 4
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- gradient_checkpointing: false
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- group_by_length: true
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- hub_model_id: robiulawaldev/d3a509ee-c062-4bff-a42b-ee19db0547f2
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- hub_strategy: end
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- learning_rate: 0.0002
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- load_in_4bit: false
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- load_in_8bit: false
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- local_rank: null
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- logging_steps: 50
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- lora_alpha: 64
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- lora_dropout: 0.05
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- lora_fan_in_fan_out: null
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- lora_model_dir: null
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- lora_r: 32
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- lora_target_linear: true
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- lr_scheduler: constant
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- max_grad_norm: 1.0
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- max_memory:
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- 0: 75GB
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- max_steps: 11201
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- micro_batch_size: 4
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- mlflow_experiment_name: /tmp/6ccb08d696fad6db_train_data.json
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- model_type: AutoModelForCausalLM
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- num_epochs: 10
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- optim_args:
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- adam_beta1: 0.9
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- adam_beta2: 0.95
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- adam_epsilon: 1e-5
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- optimizer: adamw_bnb_8bit
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- output_dir: miner_id_24
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- pad_to_sequence_len: true
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- resume_from_checkpoint: null
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- s2_attention: null
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- sample_packing: false
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- save_steps: 300
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- saves_per_epoch: null
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- sequence_len: 512
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- strict: false
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- tf32: true
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- tokenizer_type: AutoTokenizer
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- train_on_inputs: false
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- trust_remote_code: true
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- val_set_size: 0.05
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- wandb_entity: null
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- wandb_mode: online
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- wandb_name: 1352e592-0a7b-453b-9d16-c019991035d5
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- wandb_project: SN56-36
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- wandb_run: your_name
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- wandb_runid: 1352e592-0a7b-453b-9d16-c019991035d5
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- warmup_steps: 50
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- weight_decay: 0.0
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- xformers_attention: null
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-
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- ```
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-
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- </details><br>
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  # d3a509ee-c062-4bff-a42b-ee19db0547f2
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@@ -126,33 +32,6 @@ More information needed
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  More information needed
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 0.0002
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- - train_batch_size: 4
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- - eval_batch_size: 4
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- - seed: 42
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 16
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- - 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
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- - lr_scheduler_type: constant
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- - lr_scheduler_warmup_steps: 50
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- - training_steps: 11201
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | No log | 0.0004 | 1 | 7.8626 |
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- | 14.7571 | 0.1150 | 300 | 15.4268 |
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- | 16.5029 | 0.2300 | 600 | 16.5840 |
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- | 15.6019 | 0.3449 | 900 | 15.8268 |
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- | 9.9369 | 0.4599 | 1200 | 33.1477 |
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-
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-
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  ### Framework versions
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  - PEFT 0.13.2
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
  should probably proofread and complete it, then remove this comment. -->
15
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # d3a509ee-c062-4bff-a42b-ee19db0547f2
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  More information needed
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  ### Framework versions
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  - PEFT 0.13.2