End of training
Browse files- README.md +64 -0
- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
- merges.txt +0 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +30 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: other
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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: facebook/opt-350m
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model-index:
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- name: opt-350m_lora_lr5e-05_bs10_epoch5_wd0.01
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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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# opt-350m_lora_lr5e-05_bs10_epoch5_wd0.01
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3848
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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: 5e-05
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- train_batch_size: 10
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- eval_batch_size: 10
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- seed: 42
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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: 500
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 63 | 3.7589 |
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| 3.9599 | 2.0 | 126 | 3.5575 |
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| 3.9599 | 3.0 | 189 | 3.4211 |
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| 3.6502 | 4.0 | 252 | 3.3938 |
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| 3.4777 | 5.0 | 315 | 3.3848 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.0.1
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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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": "facebook/opt-350m",
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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": 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": 8,
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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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}
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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:bf752df5a868c83b19afc6147fd490659b73ed842bf38da47fc82d883159538a
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size 3159096
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merges.txt
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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": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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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_config.json
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{
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"add_bos_token": true,
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "</s>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"errors": "replace",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "</s>"
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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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oid sha256:c288925a0e77183ffc0af708acdf2211db4aded7291abf0368fce413235dff5d
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size 4219
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vocab.json
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