End of training
Browse files- README.md +57 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- runs/Jul23_16-45-10_MasanoMacBook-Air-2283.local/events.out.tfevents.1721720710.MasanoMacBook-Air-2283.local +3 -0
- runs/Jul23_16-45-40_MasanoMacBook-Air-2283.local/events.out.tfevents.1721720740.MasanoMacBook-Air-2283.local +3 -0
- runs/Jul23_17-32-47_MasanoMacBook-Air-2283.local/events.out.tfevents.1721723567.MasanoMacBook-Air-2283.local +3 -0
- runs/Jul23_19-05-32_MasanoMacBook-Air-2283.local/events.out.tfevents.1721729132.MasanoMacBook-Air-2283.local +3 -0
- trainer_state.json +217 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: HuggingFaceTB/SmolLM-360M-Instruct
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model-index:
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- name: smollm-ft-llmhuman-example-adapter
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results: []
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---
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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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# smollm-ft-llmhuman-example-adapter
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct) on the None dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 2
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 1
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### Training results
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.1
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- Pytorch 2.3.0
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "HuggingFaceTB/SmolLM-360M-Instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"loftq_config": {},
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"r": 8,
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"revision": null,
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"target_modules": [
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"mlp.up_proj",
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"self_attn.q_proj",
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"mlp.gate_proj",
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"self_attn.o_proj",
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"self_attn.v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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|
195 |
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|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:d9f3eca93d9e76b523a72774c24ef0c7aa51bb1fddc158e2a6dc1fbaafa7b268
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3 |
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size 5112
|