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--- |
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base_model: lpetreadg/trained-tinyllama-ultrachat |
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inference: false |
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license: apache-2.0 |
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model-index: |
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- name: trained-tinyllama-ultrachat |
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results: [] |
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model_creator: lpetreadg |
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model_name: trained-tinyllama-ultrachat |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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- generated_from_trainer |
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- gguf |
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- ggml |
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- quantized |
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- q2_k |
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- q3_k_m |
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- q4_k_m |
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- q5_k_m |
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- q6_k |
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- q8_0 |
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--- |
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# lpetreadg/trained-tinyllama-ultrachat-GGUF |
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Quantized GGUF model files for [trained-tinyllama-ultrachat](https://huggingface.co/lpetreadg/trained-tinyllama-ultrachat) from [lpetreadg](https://huggingface.co/lpetreadg) |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [trained-tinyllama-ultrachat.q2_k.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q2_k.gguf) | q2_k | None | |
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| [trained-tinyllama-ultrachat.q3_k_m.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q3_k_m.gguf) | q3_k_m | None | |
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| [trained-tinyllama-ultrachat.q4_k_m.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q4_k_m.gguf) | q4_k_m | None | |
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| [trained-tinyllama-ultrachat.q5_k_m.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q5_k_m.gguf) | q5_k_m | None | |
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| [trained-tinyllama-ultrachat.q6_k.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q6_k.gguf) | q6_k | None | |
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| [trained-tinyllama-ultrachat.q8_0.gguf](https://huggingface.co/afrideva/trained-tinyllama-ultrachat-GGUF/resolve/main/trained-tinyllama-ultrachat.q8_0.gguf) | q8_0 | None | |
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## Original Model Card: |
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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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# trained-tinyllama-ultrachat |
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This model is a fine-tuned version of [PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T](https://huggingface.co/PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3258 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.3767 | 0.08 | 100 | 1.3685 | |
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| 1.3494 | 0.17 | 200 | 1.3490 | |
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| 1.3436 | 0.25 | 300 | 1.3389 | |
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| 1.3231 | 0.33 | 400 | 1.3331 | |
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| 1.3278 | 0.42 | 500 | 1.3296 | |
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| 1.3214 | 0.5 | 600 | 1.3276 | |
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| 1.3376 | 0.58 | 700 | 1.3266 | |
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| 1.3227 | 0.67 | 800 | 1.3261 | |
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| 1.3329 | 0.75 | 900 | 1.3259 | |
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| 1.3185 | 0.83 | 1000 | 1.3258 | |
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| 1.332 | 0.92 | 1100 | 1.3258 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
