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Hiranmai49_-_CFDistilGPT-gguf
RichardErkhov/Hiranmai49_-_CFDistilGPT-gguf
Hiranmai49_-_CFDistilGPT-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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.gguf1.9 GB · 100%
At a glance
- Access
- Public
- Created
- Feb 12, 2025
- Updated
- Feb 12, 2025
- SHA
- 8216a040
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
CFDistilGPT - GGUF
- Model creator: https://huggingface.co/Hiranmai49/
- Original model: https://huggingface.co/Hiranmai49/CFDistilGPT/
| Name | Quant method | Size |
|---|---|---|
| CFDistilGPT.Q2_K.gguf | Q2_K | 0.06GB |
| CFDistilGPT.IQ3_XS.gguf | IQ3_XS | 0.07GB |
| CFDistilGPT.IQ3_S.gguf | IQ3_S | 0.07GB |
| CFDistilGPT.Q3_K_S.gguf | Q3_K_S | 0.07GB |
| CFDistilGPT.IQ3_M.gguf | IQ3_M | 0.07GB |
| CFDistilGPT.Q3_K.gguf | Q3_K | 0.07GB |
| CFDistilGPT.Q3_K_M.gguf | Q3_K_M | 0.07GB |
| CFDistilGPT.Q3_K_L.gguf | Q3_K_L | 0.07GB |
| CFDistilGPT.IQ4_XS.gguf | IQ4_XS | 0.07GB |
| CFDistilGPT.Q4_0.gguf | Q4_0 | 0.08GB |
| CFDistilGPT.IQ4_NL.gguf | IQ4_NL | 0.08GB |
| CFDistilGPT.Q4_K_S.gguf | Q4_K_S | 0.08GB |
| CFDistilGPT.Q4_K.gguf | Q4_K | 0.08GB |
| CFDistilGPT.Q4_K_M.gguf | Q4_K_M | 0.08GB |
| CFDistilGPT.Q4_1.gguf | Q4_1 | 0.08GB |
| CFDistilGPT.Q5_0.gguf | Q5_0 | 0.09GB |
| CFDistilGPT.Q5_K_S.gguf | Q5_K_S | 0.09GB |
| CFDistilGPT.Q5_K.gguf | Q5_K | 0.09GB |
| CFDistilGPT.Q5_K_M.gguf | Q5_K_M | 0.09GB |
| CFDistilGPT.Q5_1.gguf | Q5_1 | 0.09GB |
| CFDistilGPT.Q6_K.gguf | Q6_K | 0.1GB |
| CFDistilGPT.Q8_0.gguf | Q8_0 | 0.12GB |
Original model description:
base_model: distilgpt2 library_name: transformers license: apache-2.0 tags:
- generated_from_trainer model-index:
- name: CFDistilGPT 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. -->
CFDistilGPT
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9080
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 140 | 3.2381 |
| No log | 2.0 | 280 | 3.1353 |
| No log | 3.0 | 420 | 3.0809 |
| 3.2346 | 4.0 | 560 | 3.0432 |
| 3.2346 | 5.0 | 700 | 3.0202 |
| 3.2346 | 6.0 | 840 | 2.9960 |
| 3.2346 | 7.0 | 980 | 2.9784 |
| 2.9216 | 8.0 | 1120 | 2.9666 |
| 2.9216 | 9.0 | 1260 | 2.9535 |
| 2.9216 | 10.0 | 1400 | 2.9435 |
| 2.7856 | 11.0 | 1540 | 2.9330 |
| 2.7856 | 12.0 | 1680 | 2.9253 |
| 2.7856 | 13.0 | 1820 | 2.9221 |
| 2.7856 | 14.0 | 1960 | 2.9184 |
| 2.6979 | 15.0 | 2100 | 2.9159 |
| 2.6979 | 16.0 | 2240 | 2.9133 |
| 2.6979 | 17.0 | 2380 | 2.9096 |
| 2.6479 | 18.0 | 2520 | 2.9102 |
| 2.6479 | 19.0 | 2660 | 2.9080 |
| 2.6479 | 20.0 | 2800 | 2.9080 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Created
- Feb 12, 2025
- Updated
- Feb 12, 2025