Model save
Browse files
README.md
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| 1 |
+
---
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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-2b
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datasets:
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- generator
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| 11 |
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model-index:
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- name: gemma2b-summarize-gpt4o-64k
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| 13 |
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results: []
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| 14 |
+
---
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| 15 |
+
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| 16 |
+
<!-- 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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| 18 |
+
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| 19 |
+
# gemma2b-summarize-gpt4o-64k
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5990
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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: 8
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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: 2
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- total_train_batch_size: 48
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- total_eval_batch_size: 24
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 59 |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.2959 | 1.0 | 146 | 2.5295 |
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| 1.1524 | 2.0 | 292 | 2.4913 |
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| 1.1138 | 3.0 | 438 | 2.4847 |
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| 1.0703 | 4.0 | 584 | 2.4927 |
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| 1.0423 | 5.0 | 730 | 2.5080 |
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| 1.0322 | 6.0 | 876 | 2.5202 |
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| 1.0113 | 7.0 | 1022 | 2.5385 |
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| 0.9857 | 8.0 | 1168 | 2.5522 |
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| 0.9865 | 9.0 | 1314 | 2.5657 |
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| 0.9691 | 10.0 | 1460 | 2.5774 |
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| 0.952 | 11.0 | 1606 | 2.5889 |
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| 0.97 | 12.0 | 1752 | 2.5957 |
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| 0.9514 | 13.0 | 1898 | 2.5988 |
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| 0.9469 | 14.0 | 2044 | 2.5997 |
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| 0.9469 | 15.0 | 2190 | 2.5990 |
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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_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 19644912
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| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:3caec7cf7cfc25de5f85d3a629c6929e390c7c48b85546c19f0589510a3ab2d7
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size 19644912
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all_results.json
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{
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"epoch": 15.0,
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"total_flos": 1.2863476116823736e+18,
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| 4 |
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"train_loss": 1.080002195214572,
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| 5 |
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"train_runtime": 11705.6736,
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| 6 |
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"train_samples": 64610,
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| 7 |
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"train_samples_per_second": 8.973,
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"train_steps_per_second": 0.187
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}
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runs/Jun05_15-51-11_user-HP-Z8-Fury-G5-Workstation-Desktop-PC/events.out.tfevents.1717570300.user-HP-Z8-Fury-G5-Workstation-Desktop-PC.27019.0
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version https://git-lfs.github.com/spec/v1
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-
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-
size
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version https://git-lfs.github.com/spec/v1
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oid sha256:458c5ede6fb6f730e6cc6a02dd0e1e92dfadd06d75dc352ee78eb56e87d80ce2
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size 102541
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train_results.json
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{
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"epoch": 15.0,
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"total_flos": 1.2863476116823736e+18,
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| 4 |
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"train_loss": 1.080002195214572,
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| 5 |
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"train_runtime": 11705.6736,
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| 6 |
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"train_samples": 64610,
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| 7 |
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"train_samples_per_second": 8.973,
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"train_steps_per_second": 0.187
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}
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trainer_state.json
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