Fine-tuned smolLM2-360M with LoRA on camel-ai/physics
Browse files- README.md +66 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- config.json +29 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +2329 -0
- training_args.bin +3 -0
README.md
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---
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library_name: peft
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license: apache-2.0
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base_model: HuggingFaceTB/SmolLM2-360M
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tags:
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- generated_from_trainer
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model-index:
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- name: fine-tuned-smolLM2-360M-with-LoRA-on-camel-ai-physics
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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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# fine-tuned-smolLM2-360M-with-LoRA-on-camel-ai-physics
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M](https://huggingface.co/HuggingFaceTB/SmolLM2-360M) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7558
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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: 0.0005
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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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- optimizer: Use OptimizerNames.ADAMW_TORCH 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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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.7878 | 1.0 | 4000 | 0.8105 |
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| 0.7877 | 2.0 | 8000 | 0.7847 |
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| 0.7671 | 3.0 | 12000 | 0.7703 |
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| 0.7233 | 4.0 | 16000 | 0.7630 |
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| 0.7043 | 5.0 | 20000 | 0.7583 |
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| 0.6809 | 6.0 | 24000 | 0.7562 |
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| 0.6795 | 7.0 | 28000 | 0.7553 |
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| 0.6832 | 8.0 | 32000 | 0.7558 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.46.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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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/SmolLM2-360M",
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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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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"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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version https://git-lfs.github.com/spec/v1
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oid sha256:4cebedf212d8ce92fd69558e99aa4d71ceaea1946f2a638874f80ed5cfee6b93
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size 6570456
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"hidden_act": "silu",
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"hidden_size": 576,
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"initializer_range": 0.041666666666666664,
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"intermediate_size": 1536,
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"is_llama_config": true,
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 9,
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"num_hidden_layers": 30,
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"num_key_value_heads": 3,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_interleaved": false,
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"rope_scaling": null,
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"rope_theta": 100000,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.1",
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"use_cache": true,
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"vocab_size": 49152
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}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:db65933592695bde73750222b24de7fa5d29400d68697842430776a26199c967
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size 13214842
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:df6ef5f513fcf0bd842259d31d74b21a1559ce1cfff1f8a93aafa828ebe97a6d
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size 14244
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:43763b2d379592a176dbd01e86a23eb5cd34a442cd18e3777a60081b417051ca
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size 1064
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trainer_state.json
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