joseagmz commited on
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6bba358
1 Parent(s): d11d159

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Browse files
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1
+ ---
2
+ license: apache-2.0
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+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: TinyLlama-preprocess-medtext-epochs-1-lr-0002
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+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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+ <details><summary>See axolotl config</summary>
16
+
17
+ axolotl version: `0.4.0`
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+ ```yaml
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+ adapter: null
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+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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+ bf16: auto
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+ dataset_prepared_path: last_run_prepared
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+ datasets:
24
+ - path: utrgvseniorproject/medtext
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+ type: completion
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+ debug: null
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+ deepspeed: null
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+ early_stopping_patience: null
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+ eval_sample_packing: false
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+ eval_table_size: null
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+ evals_per_epoch: 4
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+ flash_attention: true
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+ flash_attn_cross_entropy: false
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+ flash_attn_fuse_mlp: true
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+ flash_attn_fuse_qkv: false
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+ lora_r: null
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+ lora_target_linear: null
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+ lr_scheduler: cosine
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+ micro_batch_size: 1
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+ model_type: LlamaForCausalLM
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+ num_epochs: 1
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+ optimizer: adamw_bnb_8bit
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+ output_dir: ./TinyLlama-preprocess-medtext-epochs-1-lr-0002
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+ pad_to_sequence_len: true
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+ resume_from_checkpoint: null
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+ sample_packing: true
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+ saves_per_epoch: 1
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+ strict: false
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+ tf32: false
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+ tokenizer_type: LlamaTokenizer
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+ train_on_inputs: false
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+ val_set_size: 0.05
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+ wandb_entity: utrgvmedai
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+ wandb_log_model: null
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+ wandb_name: tinyLama_colab_test_4
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+ wandb_project: TinyLlama-preprocess-medtext-epochs-1-lr-0002
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+ wandb_watch: null
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+ xformers_attention: null
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+
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+ ```
81
+
82
+ </details><br>
83
+
84
+ # TinyLlama-preprocess-medtext-epochs-1-lr-0002
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+
86
+ This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the None dataset.
87
+ It achieves the following results on the evaluation set:
88
+ - Loss: 2.6325
89
+
90
+ ## Model description
91
+
92
+ More information needed
93
+
94
+ ## Intended uses & limitations
95
+
96
+ More information needed
97
+
98
+ ## Training and evaluation data
99
+
100
+ More information needed
101
+
102
+ ## Training procedure
103
+
104
+ ### Training hyperparameters
105
+
106
+ The following hyperparameters were used during training:
107
+ - learning_rate: 0.0002
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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: cosine
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+ - lr_scheduler_warmup_steps: 100
114
+ - num_epochs: 1
115
+
116
+ ### Training results
117
+
118
+ | Training Loss | Epoch | Step | Validation Loss |
119
+ |:-------------:|:-----:|:----:|:---------------:|
120
+ | 1.7582 | 0.0 | 1 | 2.1282 |
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+ | 2.6905 | 0.25 | 155 | 4.0796 |
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+ | 2.9887 | 0.5 | 310 | 2.8330 |
123
+ | 2.6398 | 0.75 | 465 | 2.7038 |
124
+ | 1.7458 | 1.0 | 620 | 2.6325 |
125
+
126
+
127
+ ### Framework versions
128
+
129
+ - Transformers 4.38.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.0
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+ }
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