Upload folder using huggingface_hub
Browse files- README.md +131 -0
- checkpoint-190/config.json +28 -0
- checkpoint-190/generation_config.json +8 -0
- checkpoint-190/model.safetensors +3 -0
- checkpoint-190/optimizer.pt +3 -0
- checkpoint-190/rng_state.pth +3 -0
- checkpoint-190/scheduler.pt +3 -0
- checkpoint-190/trainer_state.json +1383 -0
- checkpoint-190/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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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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| 4 |
+
tags:
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| 5 |
+
- generated_from_trainer
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| 6 |
+
model-index:
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- name: TinyLlama-Real-PsychiatryCaseNotes-epochs-1-lr-0002
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| 8 |
+
results: []
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| 9 |
+
---
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| 10 |
+
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| 11 |
+
<!-- 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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| 13 |
+
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| 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>
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axolotl version: `0.4.0`
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+
```yaml
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| 19 |
+
adapter: null
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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| 21 |
+
bf16: auto
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| 22 |
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dataset_prepared_path: last_run_prepared
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| 23 |
+
datasets:
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- path: utrgvseniorproject/PsychiatryCaseNotes
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| 25 |
+
type: completion
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| 26 |
+
debug: null
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| 27 |
+
deepspeed: null
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| 28 |
+
early_stopping_patience: null
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| 29 |
+
eval_sample_packing: false
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| 30 |
+
eval_table_size: null
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| 31 |
+
evals_per_epoch: 4
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| 32 |
+
flash_attention: true
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| 33 |
+
flash_attn_cross_entropy: false
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| 34 |
+
flash_attn_fuse_mlp: true
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| 35 |
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flash_attn_fuse_qkv: false
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| 36 |
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flash_attn_rms_norm: true
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| 37 |
+
fp16: null
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| 38 |
+
fsdp: null
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| 39 |
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fsdp_config: null
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| 40 |
+
gradient_accumulation_steps: 1
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| 41 |
+
gradient_checkpointing: true
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| 42 |
+
group_by_length: false
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| 43 |
+
learning_rate: 0.0002
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| 44 |
+
load_in_4bit: false
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| 45 |
+
load_in_8bit: false
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| 46 |
+
local_rank: null
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| 47 |
+
logging_steps: 1
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| 48 |
+
lora_alpha: null
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| 49 |
+
lora_dropout: null
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| 50 |
+
lora_fan_in_fan_out: null
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| 51 |
+
lora_model_dir: null
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| 52 |
+
lora_r: null
|
| 53 |
+
lora_target_linear: null
|
| 54 |
+
lr_scheduler: cosine
|
| 55 |
+
micro_batch_size: 1
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| 56 |
+
model_type: LlamaForCausalLM
|
| 57 |
+
num_epochs: 1
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| 58 |
+
optimizer: adamw_bnb_8bit
|
| 59 |
+
output_dir: ./TinyLlama-Real-PsychiatryCaseNotes-epochs-1-lr-0002
|
| 60 |
+
pad_to_sequence_len: true
|
| 61 |
+
resume_from_checkpoint: null
|
| 62 |
+
sample_packing: true
|
| 63 |
+
saves_per_epoch: 1
|
| 64 |
+
sequence_len: 2048
|
| 65 |
+
special_tokens: null
|
| 66 |
+
strict: false
|
| 67 |
+
tf32: false
|
| 68 |
+
tokenizer_type: LlamaTokenizer
|
| 69 |
+
train_on_inputs: false
|
| 70 |
+
val_set_size: 0.05
|
| 71 |
+
wandb_entity: utrgvmedai
|
| 72 |
+
wandb_log_model: null
|
| 73 |
+
wandb_name: tinyLama_colab_test_3
|
| 74 |
+
wandb_project: TinyLlama-Real-PsychiatryCaseNotes-epochs-1-lr-0002
|
| 75 |
+
wandb_watch: null
|
| 76 |
+
warmup_steps: 100
|
| 77 |
+
weight_decay: 0.1
|
| 78 |
+
xformers_attention: null
|
| 79 |
+
|
| 80 |
+
```
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| 81 |
+
|
| 82 |
+
</details><br>
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| 83 |
+
|
| 84 |
+
# TinyLlama-Real-PsychiatryCaseNotes-epochs-1-lr-0002
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| 85 |
+
|
| 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.
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| 87 |
+
It achieves the following results on the evaluation set:
|
| 88 |
+
- Loss: 2.3789
|
| 89 |
+
|
| 90 |
+
## Model description
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| 91 |
+
|
| 92 |
+
More information needed
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| 93 |
+
|
| 94 |
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## Intended uses & limitations
|
| 95 |
+
|
| 96 |
+
More information needed
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| 97 |
+
|
| 98 |
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## Training and evaluation data
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| 99 |
+
|
| 100 |
+
More information needed
|
| 101 |
+
|
| 102 |
+
## Training procedure
|
| 103 |
+
|
| 104 |
+
### Training hyperparameters
|
| 105 |
+
|
| 106 |
+
The following hyperparameters were used during training:
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| 107 |
+
- learning_rate: 0.0002
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| 108 |
+
- train_batch_size: 1
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| 109 |
+
- eval_batch_size: 1
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| 110 |
+
- seed: 42
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| 111 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 112 |
+
- lr_scheduler_type: cosine
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| 113 |
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- lr_scheduler_warmup_steps: 100
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| 114 |
+
- num_epochs: 1
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| 115 |
+
|
| 116 |
+
### Training results
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| 117 |
+
|
| 118 |
+
| Training Loss | Epoch | Step | Validation Loss |
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| 119 |
+
|:-------------:|:-----:|:----:|:---------------:|
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| 120 |
+
| 5.2368 | 0.01 | 1 | 4.7826 |
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| 121 |
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| 2.2757 | 0.25 | 48 | 2.3982 |
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| 122 |
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| 2.5869 | 0.51 | 96 | 2.5119 |
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| 123 |
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| 2.664 | 0.76 | 144 | 2.3789 |
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| 124 |
+
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| 125 |
+
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| 126 |
+
### Framework versions
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| 127 |
+
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| 128 |
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- Transformers 4.38.2
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| 129 |
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- Pytorch 2.1.2+cu121
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| 130 |
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- Datasets 2.18.0
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| 131 |
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- Tokenizers 0.15.0
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checkpoint-190/config.json
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{
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| 2 |
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"_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
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| 3 |
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"architectures": [
|
| 4 |
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"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
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"attention_bias": false,
|
| 7 |
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"attention_dropout": 0.0,
|
| 8 |
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"bos_token_id": 1,
|
| 9 |
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"eos_token_id": 2,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
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"hidden_size": 2048,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 5632,
|
| 14 |
+
"max_position_embeddings": 2048,
|
| 15 |
+
"model_type": "llama",
|
| 16 |
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"num_attention_heads": 32,
|
| 17 |
+
"num_hidden_layers": 22,
|
| 18 |
+
"num_key_value_heads": 4,
|
| 19 |
+
"pretraining_tp": 1,
|
| 20 |
+
"rms_norm_eps": 1e-05,
|
| 21 |
+
"rope_scaling": null,
|
| 22 |
+
"rope_theta": 10000.0,
|
| 23 |
+
"tie_word_embeddings": false,
|
| 24 |
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"torch_dtype": "bfloat16",
|
| 25 |
+
"transformers_version": "4.38.2",
|
| 26 |
+
"use_cache": false,
|
| 27 |
+
"vocab_size": 32000
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| 28 |
+
}
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checkpoint-190/generation_config.json
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{
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| 2 |
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"bos_token_id": 1,
|
| 3 |
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"do_sample": true,
|
| 4 |
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"eos_token_id": 2,
|
| 5 |
+
"max_length": 2048,
|
| 6 |
+
"pad_token_id": 0,
|
| 7 |
+
"transformers_version": "4.38.2"
|
| 8 |
+
}
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checkpoint-190/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c94fc6ab29fc4560201af9f53e39d552e1323984a0bdf05b6a28a68091b5c0b1
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| 3 |
+
size 2200117448
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checkpoint-190/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f3f45e4963b975a971c05b85610744fc1e612dff7b943843710f15a3281cd348
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| 3 |
+
size 2205132090
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checkpoint-190/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b3ee827a7a00012c0a116546df467feee35e70376d81a7a85b1a70eb90414d3
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size 14244
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checkpoint-190/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a1f0c95b57cb9fc9522d06668539442e29c9ba28b246eca9df75bdbd91dc225
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| 3 |
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size 1064
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checkpoint-190/trainer_state.json
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| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": true,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"clean_up_tokenization_spaces": false,
|
| 33 |
+
"eos_token": "</s>",
|
| 34 |
+
"legacy": false,
|
| 35 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 36 |
+
"pad_token": "</s>",
|
| 37 |
+
"padding_side": "right",
|
| 38 |
+
"sp_model_kwargs": {},
|
| 39 |
+
"spaces_between_special_tokens": false,
|
| 40 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 41 |
+
"unk_token": "<unk>",
|
| 42 |
+
"use_default_system_prompt": false,
|
| 43 |
+
"use_fast": true
|
| 44 |
+
}
|