Model save
Browse files- README.md +55 -0
- adapter_config.json +34 -0
- adapter_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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license: cc-by-sa-4.0
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base_model: cyberagent/open-calm-3b
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tags:
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- generated_from_trainer
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model-index:
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- name: lora
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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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# lora
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This model is a fine-tuned version of [cyberagent/open-calm-3b](https://huggingface.co/cyberagent/open-calm-3b) on an unknown 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: 2e-05
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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: 4
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- total_train_batch_size: 4
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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: 2
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- num_epochs: 2
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### Training results
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### Framework versions
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- Transformers 4.35.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.14.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "GPTNeoXForCausalLM",
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"parent_library": "transformers.models.gpt_neox.modeling_gpt_neox"
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},
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"base_model_name_or_path": "cyberagent/open-calm-3b",
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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": "gaussian",
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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": 8,
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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": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"attention.query_key_value",
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"mlp.dense_4h_to_h",
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"mlp.dense_h_to_4h",
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"attention.dense"
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],
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"task_type": null,
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"use_dora": true,
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"use_rslora": false
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:de35d250a10366adc6f8162b4821385100f135a86f1b6d7a429d8d3e9d45de34
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size 45030209
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6aa331d73617c134b921dd72a3aa0f2069c9a5f1bf39a72c4e72348813b1ae7
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size 4015
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