Model save
Browse files- README.md +71 -0
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- runs/Sep06_16-22-59_nova.cs.ucla.edu/events.out.tfevents.1725665178.nova.cs.ucla.edu.2404961.0 +2 -2
- runs/Sep06_22-01-38_nova.cs.ucla.edu/events.out.tfevents.1725685482.nova.cs.ucla.edu.2653377.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +1596 -0
- training_args.bin +1 -1
README.md
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| 1 |
+
---
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+
base_model: meta-llama/Meta-Llama-3-8B
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library_name: peft
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license: llama3
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: llama-3-qlora-wizard-processed-indicator-0.6
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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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# llama-3-qlora-wizard-processed-indicator-0.6
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6736
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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: 2
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- total_eval_batch_size: 16
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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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| 57 |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7109 | 0.1842 | 200 | 0.7065 |
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| 0.7185 | 0.3683 | 400 | 0.6904 |
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| 0.7062 | 0.5525 | 600 | 0.6819 |
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| 0.6629 | 0.7366 | 800 | 0.6758 |
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| 0.6769 | 0.9208 | 1000 | 0.6736 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.40.1
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- Pytorch 2.4.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_config.json
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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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"up_proj",
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"k_proj",
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"q_proj"
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"gate_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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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"gate_proj",
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"v_proj",
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"up_proj",
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"down_proj",
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"k_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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adapter_model.safetensors
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size 2185327392
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size 2185327392
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 4801486812086272.0,
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"train_loss": 0.7253576234998405,
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"train_runtime": 22925.9932,
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"train_samples": 69499,
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"train_samples_per_second": 3.031,
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"train_steps_per_second": 0.047
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}
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runs/Sep06_16-22-59_nova.cs.ucla.edu/events.out.tfevents.1725665178.nova.cs.ucla.edu.2404961.0
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version https://git-lfs.github.com/spec/v1
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size 52551
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runs/Sep06_22-01-38_nova.cs.ucla.edu/events.out.tfevents.1725685482.nova.cs.ucla.edu.2653377.0
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size 10494
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 4801486812086272.0,
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"train_loss": 0.7253576234998405,
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"train_runtime": 22925.9932,
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"train_samples": 69499,
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"train_samples_per_second": 3.031,
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"train_steps_per_second": 0.047
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}
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trainer_state.json
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