Model Intelligence Sheet
richarderkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf overview
This model is a fine-tuned version of pkarypis/gpt2-sft-dutch on the BramVanroy/ultrafeedbackdutch dataset. It achieves the following results on the evaluation set:
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Repository Files & Downloads
22 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gpt2-dpo-dutch.IQ3_M.gguf | GGUF | IQ3_M | 38.04 MB | Download |
| gpt2-dpo-dutch.IQ3_S.gguf | GGUF | IQ3_S | 37.74 MB | Download |
| gpt2-dpo-dutch.IQ3_XS.gguf | GGUF | IQ3_XS | 37.42 MB | Download |
| gpt2-dpo-dutch.IQ4_NL.gguf | GGUF | IQ4_NL | 43.24 MB | Download |
| gpt2-dpo-dutch.IQ4_XS.gguf | GGUF | IQ4_XS | 41.95 MB | Download |
| gpt2-dpo-dutch.Q2_K.gguf | GGUF | Q2_K | 34.22 MB | Download |
| gpt2-dpo-dutch.Q3_K.gguf | GGUF | Q3_K | 38.78 MB | Download |
| gpt2-dpo-dutch.Q3_K_L.gguf | GGUF | Q3_K_L | 39.48 MB | Download |
| gpt2-dpo-dutch.Q3_K_M.gguf | GGUF | Q3_K_M | 38.78 MB | Download |
| gpt2-dpo-dutch.Q3_K_S.gguf | GGUF | Q3_K_S | 37.74 MB | Download |
| gpt2-dpo-dutch.Q4_0.gguf | GGUF | — | 43.24 MB | Download |
| gpt2-dpo-dutch.Q4_1.gguf | GGUF | — | 45.83 MB | Download |
| gpt2-dpo-dutch.Q4_K.gguf | GGUF | Q4_K | 43.97 MB | Download |
| gpt2-dpo-dutch.Q4_K_M.gguf | GGUF | Q4_K_M | 43.97 MB | Download |
| gpt2-dpo-dutch.Q4_K_S.gguf | GGUF | Q4_K_S | 43.38 MB | Download |
| gpt2-dpo-dutch.Q5_0.gguf | GGUF | — | 48.42 MB | Download |
| gpt2-dpo-dutch.Q5_1.gguf | GGUF | — | 51.01 MB | Download |
| gpt2-dpo-dutch.Q5_K.gguf | GGUF | Q5_K | 48.80 MB | Download |
| gpt2-dpo-dutch.Q5_K_M.gguf | GGUF | Q5_K_M | 48.80 MB | Download |
| gpt2-dpo-dutch.Q5_K_S.gguf | GGUF | Q5_K_S | 48.42 MB | Download |
| gpt2-dpo-dutch.Q6_K.gguf | GGUF | Q6_K | 53.93 MB | Download |
| gpt2-dpo-dutch.Q8_0.gguf | GGUF | — | 69.64 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"frontmatter": {},
"hero_image_url": "",
"summary": "This model is a fine-tuned version of pkarypis/gpt2-sft-dutch on the BramVanroy/ultra_feedback_dutch dataset. It achieves the following results on the evaluation set:",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\ngpt2-dpo-dutch - GGUF\n- Model creator: https://huggingface.co/chasedreaminf/\n- Original model: https://huggingface.co/chasedreaminf/gpt2-dpo-dutch/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [gpt2-dpo-dutch.Q2_K.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q2_K.gguf) | Q2_K | 0.03GB |\n| [gpt2-dpo-dutch.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.IQ3_XS.gguf) | IQ3_XS | 0.04GB |\n| [gpt2-dpo-dutch.IQ3_S.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.IQ3_S.gguf) | IQ3_S | 0.04GB |\n| [gpt2-dpo-dutch.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q3_K_S.gguf) | Q3_K_S | 0.04GB |\n| [gpt2-dpo-dutch.IQ3_M.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.IQ3_M.gguf) | IQ3_M | 0.04GB |\n| [gpt2-dpo-dutch.Q3_K.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q3_K.gguf) | Q3_K | 0.04GB |\n| [gpt2-dpo-dutch.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q3_K_M.gguf) | Q3_K_M | 0.04GB |\n| [gpt2-dpo-dutch.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q3_K_L.gguf) | Q3_K_L | 0.04GB |\n| [gpt2-dpo-dutch.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.IQ4_XS.gguf) | IQ4_XS | 0.04GB |\n| [gpt2-dpo-dutch.Q4_0.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q4_0.gguf) | Q4_0 | 0.04GB |\n| [gpt2-dpo-dutch.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.IQ4_NL.gguf) | IQ4_NL | 0.04GB |\n| [gpt2-dpo-dutch.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q4_K_S.gguf) | Q4_K_S | 0.04GB |\n| [gpt2-dpo-dutch.Q4_K.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q4_K.gguf) | Q4_K | 0.04GB |\n| [gpt2-dpo-dutch.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q4_K_M.gguf) | Q4_K_M | 0.04GB |\n| [gpt2-dpo-dutch.Q4_1.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q4_1.gguf) | Q4_1 | 0.04GB |\n| [gpt2-dpo-dutch.Q5_0.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q5_0.gguf) | Q5_0 | 0.05GB |\n| [gpt2-dpo-dutch.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q5_K_S.gguf) | Q5_K_S | 0.05GB |\n| [gpt2-dpo-dutch.Q5_K.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q5_K.gguf) | Q5_K | 0.05GB |\n| [gpt2-dpo-dutch.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q5_K_M.gguf) | Q5_K_M | 0.05GB |\n| [gpt2-dpo-dutch.Q5_1.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q5_1.gguf) | Q5_1 | 0.05GB |\n| [gpt2-dpo-dutch.Q6_K.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q6_K.gguf) | Q6_K | 0.05GB |\n| [gpt2-dpo-dutch.Q8_0.gguf](https://huggingface.co/RichardErkhov/chasedreaminf_-_gpt2-dpo-dutch-gguf/blob/main/gpt2-dpo-dutch.Q8_0.gguf) | Q8_0 | 0.07GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: apache-2.0\nbase_model: pkarypis/gpt2-sft-dutch\ntags:\n- alignment-handbook\n- trl\n- dpo\n- generated_from_trainer\n- trl\n- dpo\n- generated_from_trainer\ndatasets:\n- BramVanroy/ultra_feedback_dutch\nmodel-index:\n- name: gpt2-dpo-dutch\n results: []\n---\n\n<!-- This model card has been generated automatically according to the information the Trainer had access to. You\nshould probably proofread and complete it, then remove this comment. -->\n\n# gpt2-dpo-dutch\n\nThis model is a fine-tuned version of [pkarypis/gpt2-sft-dutch](https://huggingface.co/pkarypis/gpt2-sft-dutch) on the BramVanroy/ultra_feedback_dutch dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.6936\n- Rewards/chosen: 0.0022\n- Rewards/rejected: -0.0016\n- Rewards/accuracies: 0.5172\n- Rewards/margins: 0.0038\n- Logps/rejected: -1243.3655\n- Logps/chosen: -1947.5537\n- Logits/rejected: -3.7675\n- Logits/chosen: -3.4617\n\n## Model description\n\nMore information needed\n\n## Intended uses & limitations\n\nMore information needed\n\n## Training and evaluation data\n\nMore information needed\n\n## Training procedure\n\n### Training hyperparameters\n\nThe following hyperparameters were used during training:\n- learning_rate: 5e-07\n- train_batch_size: 2\n- eval_batch_size: 2\n- seed: 42\n- distributed_type: multi-GPU\n- num_devices: 4\n- total_train_batch_size: 8\n- total_eval_batch_size: 8\n- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n- lr_scheduler_type: cosine\n- lr_scheduler_warmup_ratio: 0.1\n- num_epochs: 1\n\n### Training results\n\n\n\n### Framework versions\n\n- Transformers 4.44.2\n- Pytorch 2.1.2\n- Datasets 3.0.0\n- Tokenizers 0.19.1\n\n\n",
"related_quantizations": []
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Source payload excerpt (from Hugging Face API)
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