Upload folder using huggingface_hub
Browse files- README.md +132 -0
- checkpoint-620/config.json +28 -0
- checkpoint-620/generation_config.json +8 -0
- checkpoint-620/model.safetensors +3 -0
- checkpoint-620/optimizer.pt +3 -0
- checkpoint-620/rng_state.pth +3 -0
- checkpoint-620/scheduler.pt +3 -0
- checkpoint-620/trainer_state.json +4401 -0
- checkpoint-620/training_args.bin +3 -0
- config.json +28 -0
- generation_config.json +8 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -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-intermediate-step-1431k-3T
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tags:
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- generated_from_trainer
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model-index:
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- name: TinyLlama-preprocess-medtext-epochs-1-lr-0002
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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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[<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>
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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:
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- 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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flash_attn_rms_norm: true
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fp16: null
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fsdp: null
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fsdp_config: null
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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group_by_length: false
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learning_rate: 0.0002
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load_in_4bit: false
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load_in_8bit: false
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local_rank: null
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logging_steps: 1
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lora_alpha: null
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lora_dropout: null
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lora_fan_in_fan_out: null
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lora_model_dir: null
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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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sequence_len: 2048
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special_tokens: null
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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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warmup_steps: 100
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weight_decay: 0.1
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xformers_attention: null
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```
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</details><br>
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# TinyLlama-preprocess-medtext-epochs-1-lr-0002
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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.
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It achieves the following results on the evaluation set:
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- Loss: 2.6325
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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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|
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## Training procedure
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### Training hyperparameters
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|
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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: 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
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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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| 1.7582 | 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 |
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| 2.6398 | 0.75 | 465 | 2.7038 |
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| 1.7458 | 1.0 | 620 | 2.6325 |
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### Framework versions
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- 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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checkpoint-620/config.json
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{
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"_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
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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": "bfloat16",
|
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"transformers_version": "4.38.2",
|
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"use_cache": false,
|
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"vocab_size": 32000
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}
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checkpoint-620/generation_config.json
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{
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"bos_token_id": 1,
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"do_sample": true,
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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": "4.38.2"
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}
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checkpoint-620/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3a36f77643a1c213534f0d15e65d507e16ceafffb59cace974b4bd9deaeeff1
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size 2200117448
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checkpoint-620/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:18e4e49c037ea8b5a7a26789a2b1fbcb76caa4204ee45e4329ca1692485b7b5c
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size 2205132218
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checkpoint-620/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:c062f7f375beded48b5337f5a3f3a5cb38807fa3e85dbf3e294c0ab6b627bfc2
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size 14244
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checkpoint-620/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb100b247904563b3d34e79013feb358059333bd862f9413e61e228a3d530d82
|
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size 1064
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checkpoint-620/trainer_state.json
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