Instructions to use MHGanainy/mgpt-lora-multi-shared-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MHGanainy/mgpt-lora-multi-shared-1024 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ai-forever/mGPT") model = PeftModel.from_pretrained(base_model, "MHGanainy/mgpt-lora-multi-shared-1024") - Notebooks
- Google Colab
- Kaggle
MHGanainy/mgpt-lora-multi-shared-1024
Browse files- README.md +2 -0
- all_results.json +10 -10
- eval_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +0 -0
README.md
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# mgpt-lora-multi-shared-1024
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This model is a fine-tuned version of [ai-forever/mGPT](https://huggingface.co/ai-forever/mGPT) on an unknown dataset.
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## Model description
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# mgpt-lora-multi-shared-1024
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This model is a fine-tuned version of [ai-forever/mGPT](https://huggingface.co/ai-forever/mGPT) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7504
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## Model description
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all_results.json
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{
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"epoch": 1.0,
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second": 9.
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"perplexity":
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"total_flos":
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"train_loss":
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 1.0,
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"eval_loss": 1.750352382659912,
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"eval_runtime": 1628.7902,
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"eval_samples_per_second": 76.532,
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"eval_steps_per_second": 9.567,
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"perplexity": 5.7566308555301,
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"total_flos": 7.631778497299481e+18,
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"train_loss": 2.1485319636500972,
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"train_runtime": 14119.5859,
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"train_samples_per_second": 35.382,
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"train_steps_per_second": 4.423
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second": 9.
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"perplexity":
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}
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{
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"epoch": 1.0,
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"eval_loss": 1.750352382659912,
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"eval_runtime": 1628.7902,
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"eval_samples_per_second": 76.532,
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"eval_steps_per_second": 9.567,
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"perplexity": 5.7566308555301
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}
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train_results.json
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"epoch": 1.0,
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"total_flos":
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"train_loss":
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"train_steps_per_second":
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{
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"epoch": 1.0,
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"total_flos": 7.631778497299481e+18,
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"train_loss": 2.1485319636500972,
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"train_runtime": 14119.5859,
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"train_samples_per_second": 35.382,
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"train_steps_per_second": 4.423
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}
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trainer_state.json
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