End of training
Browse files- README.md +73 -0
- emissions.csv +2 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
- runs/Apr15_13-24-52_gpu212-14/events.out.tfevents.1713177778.gpu212-14.780132.0 +2 -2
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: interpro_bert
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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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# interpro_bert
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7610
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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: 2e-05
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- train_batch_size: 256
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- eval_batch_size: 128
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 2048
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- total_eval_batch_size: 1024
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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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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|:-------------:|:-----:|:------:|:---------------:|
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| 4.7929 | 1.0 | 14395 | 4.4007 |
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| 2.6085 | 2.0 | 28790 | 2.4082 |
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| 1.7765 | 3.0 | 43185 | 1.6582 |
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| 1.3909 | 4.0 | 57580 | 1.3030 |
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| 1.1805 | 5.0 | 71975 | 1.1146 |
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| 1.0593 | 6.0 | 86370 | 1.0107 |
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| 0.9726 | 7.0 | 100765 | 0.9359 |
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| 0.9167 | 8.0 | 115160 | 0.8880 |
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| 0.8683 | 9.0 | 129555 | 0.8475 |
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| 0.8436 | 10.0 | 143950 | 0.8224 |
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| 0.8167 | 11.0 | 158345 | 0.7974 |
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| 0.8009 | 12.0 | 172740 | 0.7850 |
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| 0.7874 | 13.0 | 187135 | 0.7682 |
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| 0.7772 | 14.0 | 201530 | 0.7654 |
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| 0.7738 | 15.0 | 215925 | 0.7610 |
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### Framework versions
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- Transformers 4.39.2
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- Pytorch 2.2.2+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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emissions.csv
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timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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2024-04-16T16:04:28,codecarbon,95f18540-a607-4d10-861d-d3f723a7f6a0,94875.835136652,5.398440238205457,5.6900055008000204e-05,82.5,0.0,282.9608030319214,2.17365881507198,0.0,7.275142307569442,9.448801122641417,Saudi Arabia,SAU,al-qassim region,,,Linux-5.14.0-162.23.1.el9_1.x86_64-x86_64-with-glibc2.34,3.9.13,2.2.3,24,Intel(R) Xeon(R) Platinum 8260 CPU @ 2.40GHz,8,8 x Tesla V100-SXM2-32GB,42.3813,26.0116,754.562141418457,machine,N,1.0
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.39.2"
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}
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model.safetensors
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runs/Apr15_13-24-52_gpu212-14/events.out.tfevents.1713177778.gpu212-14.780132.0
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