Upload 12 files
Browse files- README.md +52 -3
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- all_results.json +14 -0
- config.json +28 -0
- eval_results.json +8 -0
- special_tokens_map.json +16 -0
- tokenizer.json +0 -0
- tokenizer_config.json +239 -0
- train_results.json +9 -0
- trainer_state.json +2173 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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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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- alignment-handbook
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- generated_from_trainer
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base_model: allenai/OLMo-1B-hf
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datasets:
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- Ritvik19/open-hermes-2_5-reformatted
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model-index:
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- name: openhermes-1b-olmo-sft-qlora
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results: []
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---
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**Note**: This model card has been generated automatically according to the information the Trainer had access to.
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Visit the [model card](https://ritvik19.github.io/small-llms/) to see the full description.
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# openhermes-1b-olmo-sft-qlora
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This model is a fine-tuned version of [allenai/OLMo-1B-hf](https://huggingface.co/allenai/OLMo-1B-hf) on the Ritvik19/open-hermes-2_5-reformatted dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4363
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### Training hyperparameters
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 128
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.2568 | 0.9996 | 1523 | 1.4363 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.40.1
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- Pytorch 2.1.2+cu121
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- Datasets 2.19.0
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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": "allenai/OLMo-1B-hf",
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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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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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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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"v_proj",
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"q_proj",
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"gate_proj",
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"up_proj",
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"k_proj",
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"o_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM"
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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:df9b81dcb130a8eecb29e364cb32138d5a4b1fbd4318afa321b40512f5bb0649
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size 24147064
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all_results.json
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{
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"eval_loss": 1.4362765550613403,
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"eval_samples_per_second": 11.873,
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"total_flos": 2.6010044317889987e+18,
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}
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config.json
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{
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"_name_or_path": "allenai/OLMo-1B-hf",
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"OlmoForCausalLM"
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}
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eval_results.json
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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train_results.json
ADDED
@@ -0,0 +1,9 @@
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{
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}
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trainer_state.json
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@@ -0,0 +1,2173 @@
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