as-cle-bert
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Commit
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End of training
Browse files- README.md +59 -0
- config.json +28 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- runs/Apr29_11-10-36_2892b1f130af/events.out.tfevents.1714389048.2892b1f130af.33.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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tags:
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- generated_from_trainer
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model-index:
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- name: tinyllama-essay-scorer
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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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# tinyllama-essay-scorer
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0748
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 50 | 2.6337 |
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| No log | 2.0 | 100 | 2.7357 |
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| No log | 3.0 | 150 | 3.0748 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.2+cpu
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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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": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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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": false,
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"torch_dtype": "float32",
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"transformers_version": "4.38.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "4.38.1"
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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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oid sha256:46b14464007d9d96229692ac53c4acbb2d2a9a6d1cadcbb20ce0616771ae462b
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size 4400216536
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runs/Apr29_11-10-36_2892b1f130af/events.out.tfevents.1714389048.2892b1f130af.33.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d7fc599e91ee4fd00a2408536f98ab566895a5b426ef1823d2e960a47e1cde20
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size 5800
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:09187fb44f8dbc950db124a65215fcc517920a8be8f51b5de58c31151230d5a3
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size 4920
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