End of training
Browse files- README.md +36 -17
- generation_config.json +2 -3
- pytorch_model.bin +2 -2
README.md
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---
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library_name: transformers
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tags:
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- axolotl
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- generated_from_trainer
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model-index:
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- name:
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results: []
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---
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@@ -17,20 +18,21 @@ should probably proofread and complete it, then remove this comment. -->
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axolotl version: `0.4.1`
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```yaml
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base_model:
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batch_size: 32
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bf16: true
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chat_template: tokenizer_default_fallback_alpaca
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datasets:
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- data_files:
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-
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ds_type: json
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format: custom
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path: /workspace/input_data/
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type:
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-
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-
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-
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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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gpu_memory_limit: 80GiB
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gradient_checkpointing: true
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group_by_length: true
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hub_model_id: willtensora/
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hub_strategy: checkpoint
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learning_rate: 0.0002
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logging_steps: 10
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save_steps: 40
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save_total_limit: 1
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sequence_len: 2048
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-
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train_on_inputs: false
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trust_remote_code: true
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val_set_size: 0.1
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wandb_entity: ''
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wandb_mode: online
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wandb_name:
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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wandb_runid: default
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</details><br>
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#
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This model is a fine-tuned version of [
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## Model description
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- total_eval_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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-
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### Training results
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| Training Loss | Epoch
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| No log | 0.
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### Framework versions
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---
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library_name: transformers
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license: llama3.2
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base_model: NousResearch/Llama-3.2-1B
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tags:
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- axolotl
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- generated_from_trainer
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model-index:
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- name: 0c2649cc-2fe7-4e88-b672-6da1fee4001f
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results: []
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---
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axolotl version: `0.4.1`
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```yaml
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base_model: NousResearch/Llama-3.2-1B
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batch_size: 32
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bf16: true
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chat_template: tokenizer_default_fallback_alpaca
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datasets:
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- data_files:
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- f51beb4c568b9128_train_data.json
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ds_type: json
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format: custom
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path: /workspace/input_data/f51beb4c568b9128_train_data.json
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type:
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field_input: keywords
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field_instruction: idea
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field_output: full_response
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format: '{instruction} {input}'
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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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gpu_memory_limit: 80GiB
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gradient_checkpointing: true
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group_by_length: true
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hub_model_id: willtensora/0c2649cc-2fe7-4e88-b672-6da1fee4001f
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hub_strategy: checkpoint
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learning_rate: 0.0002
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logging_steps: 10
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save_steps: 40
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save_total_limit: 1
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sequence_len: 2048
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special_tokens:
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pad_token: <|end_of_text|>
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tokenizer_type: PreTrainedTokenizerFast
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train_on_inputs: false
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trust_remote_code: true
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val_set_size: 0.1
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wandb_entity: ''
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wandb_mode: online
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wandb_name: NousResearch/Llama-3.2-1B-/workspace/input_data/f51beb4c568b9128_train_data.json
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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wandb_runid: default
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</details><br>
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# 0c2649cc-2fe7-4e88-b672-6da1fee4001f
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This model is a fine-tuned version of [NousResearch/Llama-3.2-1B](https://huggingface.co/NousResearch/Llama-3.2-1B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0849
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## Model description
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- total_eval_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 12
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- training_steps: 258
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.0005 | 1 | 0.2074 |
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| 0.5472 | 0.0097 | 20 | 0.1746 |
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| 0.3199 | 0.0194 | 40 | 0.2036 |
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| 0.2013 | 0.0291 | 60 | 0.1772 |
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| 0.0903 | 0.0388 | 80 | 0.1702 |
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| 0.0875 | 0.0485 | 100 | 0.2040 |
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| 0.1425 | 0.0582 | 120 | 0.1392 |
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| 0.1982 | 0.0679 | 140 | 0.1194 |
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| 0.1372 | 0.0776 | 160 | 0.1014 |
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| 0.0278 | 0.0873 | 180 | 0.0952 |
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| 0.0248 | 0.0970 | 200 | 0.0893 |
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| 0.1051 | 0.1067 | 220 | 0.0875 |
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| 0.0649 | 0.1164 | 240 | 0.0849 |
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### Framework versions
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id":
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"do_sample": true,
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"eos_token_id":
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"pad_token_id": 2,
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"transformers_version": "4.46.0"
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}
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": 128001,
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"transformers_version": "4.46.0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 2471678226
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