Instructions to use CodeIsAbstract/HybridTimeScaleModel_conti3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridTimeScaleModel_conti3 with Transformers:
# Load model directly from transformers import HybridTimeScaleLM model = HybridTimeScaleLM.from_pretrained("CodeIsAbstract/HybridTimeScaleModel_conti3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- README.md +79 -0
- best_model_streaming_cont/config.json +34 -0
- best_model_streaming_cont/generation_config.json +9 -0
- best_model_streaming_cont/model.safetensors +3 -0
- best_model_streaming_cont/tokenizer.json +0 -0
- best_model_streaming_cont/tokenizer_config.json +17 -0
- best_model_streaming_cont/training_args.bin +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
README.md
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---
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library_name: transformers
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base_model: CodeIsAbstract/HybridTimeScaleModel_conti2
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tags:
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- generated_from_trainer
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model-index:
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- name: HybridTimeScaleModel_conti3
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results: []
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---
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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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# HybridTimeScaleModel_conti3
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This model is a fine-tuned version of [CodeIsAbstract/HybridTimeScaleModel_conti2](https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel_conti2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2616
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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: 5e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: constant_with_warmup
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- lr_scheduler_warmup_steps: 10
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- training_steps: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.1777 | 0.05 | 50 | 3.4269 |
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| 3.1601 | 0.1 | 100 | 3.3961 |
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| 3.1383 | 0.15 | 150 | 3.3838 |
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| 3.0848 | 0.2 | 200 | 3.3661 |
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| 3.0850 | 0.25 | 250 | 3.3512 |
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| 3.0674 | 0.3 | 300 | 3.3399 |
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| 3.0248 | 0.35 | 350 | 3.3282 |
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| 3.0237 | 0.4 | 400 | 3.3229 |
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| 3.0460 | 0.45 | 450 | 3.3178 |
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| 3.0554 | 0.5 | 500 | 3.3105 |
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| 3.0215 | 0.55 | 550 | 3.3045 |
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| 3.0404 | 0.6 | 600 | 3.2980 |
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| 3.0302 | 0.65 | 650 | 3.2929 |
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| 3.0227 | 0.7 | 700 | 3.2861 |
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| 2.9928 | 0.75 | 750 | 3.2805 |
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| 3.0219 | 0.8 | 800 | 3.2757 |
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| 2.9899 | 0.85 | 850 | 3.2712 |
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| 2.9925 | 0.9 | 900 | 3.2690 |
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| 2.9400 | 0.95 | 950 | 3.2654 |
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| 2.9780 | 1.0 | 1000 | 3.2616 |
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### Framework versions
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- Transformers 5.14.1
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- Pytorch 2.8.0+cu128
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- Datasets 5.0.1
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- Tokenizers 0.22.2
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best_model_streaming_cont/config.json
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{
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"architectures": [
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"HybridTimeScaleLM"
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],
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"bos_token_id": 1,
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"chunk_size": 128,
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"dropout": 0.05,
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"dtype": "bfloat16",
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"eos_token_id": 2,
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"latent_dim": 768,
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"layer_types": [
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"linear",
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"linear",
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"linear",
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"softmax",
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"linear",
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"linear",
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"linear",
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"softmax",
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"linear",
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"linear",
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"linear",
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"softmax"
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],
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"model_type": "hybrid_fourier_lm",
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"num_layers": 12,
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"num_modes": 64,
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"pad_token_id": 2,
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"tie_word_embeddings": true,
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"time_scale": 128.0,
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"transformers_version": "5.14.1",
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"use_cache": false,
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"vocab_size": 32768
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}
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best_model_streaming_cont/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"output_attentions": false,
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"output_hidden_states": false,
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"pad_token_id": 2,
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"transformers_version": "5.14.1"
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}
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best_model_streaming_cont/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:98d2fe0f6c71fc451029e15d3adda76c167de5a1de26fc9f1e9f7395acc07ef0
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size 234681136
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best_model_streaming_cont/tokenizer.json
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See raw diff
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best_model_streaming_cont/tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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| 4 |
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"is_local": false,
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"legacy": false,
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"local_files_only": false,
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"model_max_length": 1000000000,
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"pad_token": "</s>",
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| 12 |
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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best_model_streaming_cont/training_args.bin
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:0d533f720772e44e41a40b44f509f4cd172bfbbaa7e27d2a199c907bce81123b
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size 5265
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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| 4 |
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"bos_token": "<s>",
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| 5 |
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"clean_up_tokenization_spaces": false,
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| 6 |
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"eos_token": "</s>",
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| 7 |
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"is_local": false,
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| 8 |
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"legacy": false,
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| 9 |
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"local_files_only": false,
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| 10 |
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"model_max_length": 1000000000,
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| 11 |
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"pad_token": "</s>",
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| 12 |
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"sp_model_kwargs": {},
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| 13 |
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"spaces_between_special_tokens": false,
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| 14 |
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"tokenizer_class": "TokenizersBackend",
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| 15 |
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"unk_token": "<unk>",
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| 16 |
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"use_default_system_prompt": false
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| 17 |
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}
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