Model save
Browse files- README.md +65 -0
- all_results.json +9 -0
- runs/May31_06-00-44_COE-CS-sv003/events.out.tfevents.1717135532.COE-CS-sv003.3638172.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +813 -0
README.md
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| 1 |
+
---
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+
license: llama3
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base_model: meta-llama/Meta-Llama-3-8B
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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: llama5pEnt
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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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# llama5pEnt
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0853
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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: 8
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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: 3
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 192
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- total_eval_batch_size: 12
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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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|:-------------:|:------:|:----:|:---------------:|
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| 0.8639 | 0.9993 | 541 | 1.0853 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9993073193257908,
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"total_flos": 2.705944628841939e+18,
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"train_loss": 0.860630649956229,
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"train_runtime": 42250.2981,
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"train_samples": 103932,
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"train_samples_per_second": 2.46,
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"train_steps_per_second": 0.013
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}
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runs/May31_06-00-44_COE-CS-sv003/events.out.tfevents.1717135532.COE-CS-sv003.3638172.0
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:cd5afea1fcc31932252827bf3303e1be07cf926e6f549843fb63d2318f9ad229
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size 28580
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train_results.json
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{
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"epoch": 0.9993073193257908,
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"total_flos": 2.705944628841939e+18,
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"train_loss": 0.860630649956229,
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"train_runtime": 42250.2981,
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"train_samples": 103932,
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"train_samples_per_second": 2.46,
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"train_steps_per_second": 0.013
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}
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trainer_state.json
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