End of training
Browse files- README.md +67 -0
- adapter_config.json +23 -0
- adapter_model.safetensors +3 -0
- runs/Jun01_06-44-55_psqx0sbl2whl/events.out.tfevents.1717224296.psqx0sbl2whl.2891.0 +3 -0
- runs/Jun01_06-46-14_psqx0sbl2whl/events.out.tfevents.1717224374.psqx0sbl2whl.3143.0 +3 -0
- runs/Jun01_06-46-54_psqx0sbl2whl/events.out.tfevents.1717224414.psqx0sbl2whl.3394.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +41 -0
- training_args.bin +3 -0
README.md
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---
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license: llama2
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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: meta-llama/Llama-2-7b-hf
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model-index:
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- name: textbookbig15
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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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# textbookbig15
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2343
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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: 0.003
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- train_batch_size: 2
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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: 8
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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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- training_steps: 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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| 2.3089 | 0.0263 | 1 | 2.2343 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.1.1+cu121
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- Datasets 2.14.5
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- Tokenizers 0.19.1
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## Training procedure
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### Framework versions
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- PEFT 0.6.2
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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": "meta-llama/Llama-2-7b-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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"lora_alpha": 64,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 128,
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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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],
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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 sha256:32f646901444dcb8e1424ff8764fd090ea63f6f4762a6bc89a72917a94a00d84
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size 268453016
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runs/Jun01_06-44-55_psqx0sbl2whl/events.out.tfevents.1717224296.psqx0sbl2whl.2891.0
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runs/Jun01_06-46-14_psqx0sbl2whl/events.out.tfevents.1717224374.psqx0sbl2whl.3143.0
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runs/Jun01_06-46-54_psqx0sbl2whl/events.out.tfevents.1717224414.psqx0sbl2whl.3394.0
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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"eos_token": {
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"pad_token": "</s>",
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"unk_token": {
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"eos_token": "</s>",
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"pad_token": "</s>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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