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Nirwa22_-_Fine_tuned_model_final-gguf
RichardErkhov/Nirwa22_-_Fine_tuned_model_final-gguf
Nirwa22_-_Fine_tuned_model_final-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Feb 11, 2025
- Updated
- Feb 12, 2025
- SHA
- f9f27173
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Fine_tuned_model_final - GGUF
- Model creator: https://huggingface.co/Nirwa22/
- Original model: https://huggingface.co/Nirwa22/Fine_tuned_model_final/
| Name | Quant method | Size |
|---|---|---|
| Fine_tuned_model_final.Q2_K.gguf | Q2_K | 0.06GB |
| Fine_tuned_model_final.IQ3_XS.gguf | IQ3_XS | 0.07GB |
| Fine_tuned_model_final.IQ3_S.gguf | IQ3_S | 0.07GB |
| Fine_tuned_model_final.Q3_K_S.gguf | Q3_K_S | 0.07GB |
| Fine_tuned_model_final.IQ3_M.gguf | IQ3_M | 0.07GB |
| Fine_tuned_model_final.Q3_K.gguf | Q3_K | 0.07GB |
| Fine_tuned_model_final.Q3_K_M.gguf | Q3_K_M | 0.07GB |
| Fine_tuned_model_final.Q3_K_L.gguf | Q3_K_L | 0.07GB |
| Fine_tuned_model_final.IQ4_XS.gguf | IQ4_XS | 0.07GB |
| Fine_tuned_model_final.Q4_0.gguf | Q4_0 | 0.08GB |
| Fine_tuned_model_final.IQ4_NL.gguf | IQ4_NL | 0.08GB |
| Fine_tuned_model_final.Q4_K_S.gguf | Q4_K_S | 0.08GB |
| Fine_tuned_model_final.Q4_K.gguf | Q4_K | 0.08GB |
| Fine_tuned_model_final.Q4_K_M.gguf | Q4_K_M | 0.08GB |
| Fine_tuned_model_final.Q4_1.gguf | Q4_1 | 0.08GB |
| Fine_tuned_model_final.Q5_0.gguf | Q5_0 | 0.09GB |
| Fine_tuned_model_final.Q5_K_S.gguf | Q5_K_S | 0.09GB |
| Fine_tuned_model_final.Q5_K.gguf | Q5_K | 0.09GB |
| Fine_tuned_model_final.Q5_K_M.gguf | Q5_K_M | 0.09GB |
| Fine_tuned_model_final.Q5_1.gguf | Q5_1 | 0.09GB |
| Fine_tuned_model_final.Q6_K.gguf | Q6_K | 0.1GB |
| Fine_tuned_model_final.Q8_0.gguf | Q8_0 | 0.12GB |
Original model description:
base_model: distilgpt2 library_name: transformers license: apache-2.0 metrics:
- accuracy tags:
- generated_from_trainer model-index:
- name: Fine_tuned_model_final results: []
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
Fine_tuned_model_final
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4797
- Accuracy: 0.0022
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 3 | 3.5381 | 0.0022 |
| No log | 2.0 | 6 | 3.5006 | 0.0022 |
| No log | 3.0 | 9 | 3.4833 | 0.0022 |
| No log | 4.0 | 12 | 3.4797 | 0.0022 |
| No log | 5.0 | 15 | 3.4797 | 0.0022 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Created
- Feb 11, 2025
- Updated
- Feb 12, 2025