Model save
Browse files
README.md
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+
---
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+
license: llama3
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library_name: peft
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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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base_model: meta-llama/Meta-Llama-3-8B
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model-index:
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- name: llamaclean
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results: []
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---
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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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# llamaclean
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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: nan
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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: 1
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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: 32
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- total_train_batch_size: 256
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- total_eval_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 50 |
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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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|:-------------:|:-----:|:----:|:---------------:|
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| 0.8533 | 1.0 | 406 | nan |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.1
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- Pytorch 2.2.2+cu121
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| 66 |
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- Datasets 2.19.1
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| 67 |
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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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| 4 |
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"base_model_name_or_path": "meta-llama/Meta-Llama-3-8B",
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| 5 |
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"bias": "none",
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| 6 |
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"fan_in_fan_out": false,
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| 7 |
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"inference_mode": true,
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| 8 |
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"init_lora_weights": true,
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| 9 |
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"layer_replication": null,
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| 10 |
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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": 0.05,
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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": 6,
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"rank_pattern": {},
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| 21 |
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"revision": null,
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"target_modules": [
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"q_proj",
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"down_proj",
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"o_proj",
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"up_proj",
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"v_proj",
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"k_proj",
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"gate_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 sha256:7cbc50ac1991f35ee5b3aa1a3784129da43c333fcda53da5d67d84bee0dada23
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+
size 62973728
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all_results.json
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{
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"epoch": 1.0,
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| 3 |
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"total_flos": 1.566096083950502e+18,
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| 4 |
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"train_loss": 0.8717349902749649,
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| 5 |
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"train_runtime": 143000.567,
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| 6 |
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"train_samples": 103932,
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| 7 |
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"train_samples_per_second": 0.727,
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| 8 |
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"train_steps_per_second": 0.003
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| 9 |
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}
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runs/Jun19_03-09-39_ip-172-31-69-60.ec2.internal/events.out.tfevents.1718767112.ip-172-31-69-60.ec2.internal.40104.0
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:1dbf6c697714514dc5e837a59e694f52fbf5a94983cdf9d755d7e7534ca4e0de
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size 22993
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 1.566096083950502e+18,
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"train_loss": 0.8717349902749649,
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"train_runtime": 143000.567,
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| 6 |
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"train_samples": 103932,
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"train_samples_per_second": 0.727,
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"train_steps_per_second": 0.003
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}
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trainer_state.json
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