Model save
Browse files
README.md
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---
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license: gemma
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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: google/gemma-7b
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datasets:
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- generator
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model-index:
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- name: coding_llamaduo_60k_v0.2
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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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# coding_llamaduo_60k_v0.2
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3326
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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: 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: 2
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- total_train_batch_size: 32
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.7499 | 1.0 | 126 | 1.2580 |
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| 0.6058 | 2.0 | 252 | 1.1687 |
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| 0.5571 | 3.0 | 378 | 1.1492 |
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| 0.5118 | 4.0 | 504 | 1.1551 |
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| 0.4711 | 5.0 | 630 | 1.1767 |
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| 0.4287 | 6.0 | 756 | 1.1948 |
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| 0.3943 | 7.0 | 882 | 1.2383 |
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| 0.3612 | 8.0 | 1008 | 1.2904 |
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| 0.3457 | 9.0 | 1134 | 1.3253 |
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| 0.3328 | 10.0 | 1260 | 1.3326 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.40.1
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- Pytorch 2.2.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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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:
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size 200068904
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version https://git-lfs.github.com/spec/v1
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oid sha256:ad3430977fbf67d56dea82f8eb026d5d3d24e08a481959da1f646cd6eff46fca
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size 200068904
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all_results.json
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{
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"epoch": 10.0,
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"total_flos": 3.8899222565240177e+18,
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"train_loss": 1.363766341266178,
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"train_runtime": 8098.2535,
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"train_samples": 60531,
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"train_samples_per_second": 4.97,
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"train_steps_per_second": 0.156
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}
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runs/Apr23_22-36-57_deep-diver-main-ordinary-zebra-1-0-0/events.out.tfevents.1713926426.deep-diver-main-ordinary-zebra-1-0-0.520.0
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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 sha256:10b6e287b3a6cb3f928613155dee2b20705a605137df2bde40eb9975f8e21804
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size 61802
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 3.8899222565240177e+18,
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"train_loss": 1.363766341266178,
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"train_runtime": 8098.2535,
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"train_samples": 60531,
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"train_samples_per_second": 4.97,
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"train_steps_per_second": 0.156
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}
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trainer_state.json
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