archit11/nous-fn-finetuned-model
Browse files- README.md +56 -0
- config.json +30 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- runs/Sep25_21-01-34_4cfab063c3dc/events.out.tfevents.1727298095.4cfab063c3dc.31.0 +3 -0
- runs/Sep26_11-43-19_d0d4ee6aec48/events.out.tfevents.1727351001.d0d4ee6aec48.30.0 +3 -0
- runs/Sep26_12-00-38_f57f1acbd579/events.out.tfevents.1727352040.f57f1acbd579.30.0 +3 -0
- runs/Sep26_12-02-07_f57f1acbd579/events.out.tfevents.1727352129.f57f1acbd579.30.1 +3 -0
- runs/Sep26_12-21-06_f57f1acbd579/events.out.tfevents.1727353267.f57f1acbd579.30.2 +3 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: mit
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base_model: nisten/Biggie-SmoLlm-0.15B-Base
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tags:
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- generated_from_trainer
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model-index:
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- name: capybara_finetuned_results
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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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# capybara_finetuned_results
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This model is a fine-tuned version of [nisten/Biggie-SmoLlm-0.15B-Base](https://huggingface.co/nisten/Biggie-SmoLlm-0.15B-Base) on an unknown dataset.
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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: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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: 30
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- training_steps: 5
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### Training results
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "nisten/Biggie-SmoLlm-0.15B-Base",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"hidden_act": "silu",
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"hidden_size": 576,
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 9,
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"num_hidden_layers": 35,
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"num_key_value_heads": 3,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"vocab_size": 49152
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"transformers_version": "4.44.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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runs/Sep25_21-01-34_4cfab063c3dc/events.out.tfevents.1727298095.4cfab063c3dc.31.0
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runs/Sep26_11-43-19_d0d4ee6aec48/events.out.tfevents.1727351001.d0d4ee6aec48.30.0
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runs/Sep26_12-00-38_f57f1acbd579/events.out.tfevents.1727352040.f57f1acbd579.30.0
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runs/Sep26_12-21-06_f57f1acbd579/events.out.tfevents.1727353267.f57f1acbd579.30.2
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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