avalosjc/llama2instructtune500s
Browse files- README.md +81 -195
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- runs/Jun13_00-51-36_997caab27ce5/events.out.tfevents.1718239964.997caab27ce5.2061.0 +3 -0
- runs/Jun13_01-35-24_997caab27ce5/events.out.tfevents.1718242534.997caab27ce5.14870.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
- training_args.bin +3 -0
README.md
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---
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library_name:
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tags:
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- trl
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---
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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#### Software
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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## Model Card Contact
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[More Information Needed]
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---
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library_name: peft
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tags:
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- trl
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- generated_from_trainer
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base_model: NousResearch/Llama-2-7b-hf
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datasets:
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- generator
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model-index:
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- name: llama2_instruct_generation
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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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# llama2_instruct_generation
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6709
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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: 0.0002
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- train_batch_size: 4
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- eval_batch_size: 8
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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: constant
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- lr_scheduler_warmup_steps: 0.03
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- training_steps: 500
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.9464 | 0.0027 | 20 | 1.8079 |
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| 1.8933 | 0.0054 | 40 | 1.7789 |
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| 1.8882 | 0.0081 | 60 | 1.7644 |
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| 1.7861 | 0.0108 | 80 | 1.7545 |
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| 1.7948 | 0.0135 | 100 | 1.7400 |
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| 1.8786 | 0.0163 | 120 | 1.7138 |
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| 1.8041 | 0.0190 | 140 | 1.7061 |
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| 1.713 | 0.0217 | 160 | 1.6969 |
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| 1.8453 | 0.0244 | 180 | 1.6944 |
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| 1.8526 | 0.0271 | 200 | 1.6914 |
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| 1.8792 | 0.0298 | 220 | 1.6907 |
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| 1.6989 | 0.0325 | 240 | 1.6874 |
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| 1.8333 | 0.0352 | 260 | 1.6868 |
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| 1.8608 | 0.0379 | 280 | 1.6847 |
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| 1.9045 | 0.0406 | 300 | 1.6830 |
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| 1.8614 | 0.0433 | 320 | 1.6822 |
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| 1.7854 | 0.0461 | 340 | 1.6801 |
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| 1.8538 | 0.0488 | 360 | 1.6783 |
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| 1.7165 | 0.0515 | 380 | 1.6766 |
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| 1.8302 | 0.0542 | 400 | 1.6782 |
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| 1.7844 | 0.0569 | 420 | 1.6761 |
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| 1.747 | 0.0596 | 440 | 1.6742 |
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| 1.7928 | 0.0623 | 460 | 1.6735 |
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| 1.7661 | 0.0650 | 480 | 1.6732 |
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| 1.7684 | 0.0677 | 500 | 1.6709 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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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": "NousResearch/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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"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": 16,
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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": 64,
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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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"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:e44ce263e6fd885f50d82ca515b9325375b43ee36ededb75acf161ce88bc2e41
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size 48
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runs/Jun13_00-51-36_997caab27ce5/events.out.tfevents.1718239964.997caab27ce5.2061.0
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runs/Jun13_01-35-24_997caab27ce5/events.out.tfevents.1718242534.997caab27ce5.14870.0
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version https://git-lfs.github.com/spec/v1
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size 23289
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special_tokens_map.json
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"content": "<s>",
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},
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"eos_token": {
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"content": "</s>",
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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": "</s>",
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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.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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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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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"special": true
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},
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+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": true,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": true,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"bos_token": "<s>",
|
31 |
+
"clean_up_tokenization_spaces": false,
|
32 |
+
"eos_token": "</s>",
|
33 |
+
"legacy": false,
|
34 |
+
"model_max_length": 1000000000000000019884624838656,
|
35 |
+
"pad_token": "</s>",
|
36 |
+
"sp_model_kwargs": {},
|
37 |
+
"tokenizer_class": "LlamaTokenizer",
|
38 |
+
"unk_token": "<unk>",
|
39 |
+
"use_default_system_prompt": false
|
40 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fc65aded8b640b5b81444f1aac4d2975a1742e64fcbade3b1679e2d0bc05122f
|
3 |
+
size 5368
|