Bram Vanroy
commited on
Commit
•
280f9ff
1
Parent(s):
4343502
init adapters
Browse files- README.md +86 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- all_results.json +14 -0
- eval_results.json +9 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +33 -0
- train_results.json +8 -0
- trainer_state.json +2949 -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: BramVanroy/llama2-13b-ft-mc4_nl_cleaned_tiny
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tags:
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- generated_from_trainer
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datasets:
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- BramVanroy/dutch_chat_datasets
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model-index:
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- name: 2e-4lr+64tbs+32a+4r
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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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# 2e-4lr+64tbs+32a+4r
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This model is a fine-tuned version of [BramVanroy/llama2-13b-ft-mc4_nl_cleaned_tiny](https://huggingface.co/BramVanroy/llama2-13b-ft-mc4_nl_cleaned_tiny) on the BramVanroy/dutch_chat_datasets dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0848
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.0193 | 0.09 | 20 | 1.1583 |
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| 0.9743 | 0.17 | 40 | 1.1339 |
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| 0.9159 | 0.26 | 60 | 1.1218 |
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| 0.9131 | 0.35 | 80 | 1.1153 |
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| 0.8816 | 0.44 | 100 | 1.1130 |
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| 0.8977 | 0.52 | 120 | 1.1069 |
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| 0.9061 | 0.61 | 140 | 1.1025 |
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| 0.8672 | 0.7 | 160 | 1.1024 |
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| 0.8956 | 0.79 | 180 | 1.0971 |
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| 0.8514 | 0.87 | 200 | 1.0995 |
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| 0.8357 | 0.96 | 220 | 1.0952 |
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| 0.8294 | 1.05 | 240 | 1.0964 |
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| 0.8531 | 1.13 | 260 | 1.0947 |
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| 0.8321 | 1.22 | 280 | 1.0951 |
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| 0.8365 | 1.31 | 300 | 1.0910 |
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| 0.8616 | 1.4 | 320 | 1.0894 |
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| 0.8397 | 1.48 | 340 | 1.0904 |
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| 0.861 | 1.57 | 360 | 1.0880 |
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| 0.8116 | 1.66 | 380 | 1.0871 |
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| 0.8285 | 1.74 | 400 | 1.0855 |
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| 0.8603 | 1.83 | 420 | 1.0856 |
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| 0.8126 | 1.92 | 440 | 1.0848 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "BramVanroy/llama2-13b-ft-mc4_nl_cleaned_tiny",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 4,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d22e09f3a7e341f935165c1ca7f4121784230475a767e1c5d39e3f7267b82ca
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size 6608717
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all_results.json
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{
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"epoch": 2.0,
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"eval_loss": 1.0847766399383545,
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"eval_runtime": 298.8617,
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"eval_samples": 630,
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"eval_samples_per_second": 2.108,
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"eval_steps_per_second": 0.264,
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"perplexity": 2.9587788718964534,
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"train_loss": 0.8817351038799536,
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"train_runtime": 50140.2452,
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"train_samples": 14670,
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"train_samples_per_second": 0.585,
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"train_steps_per_second": 0.009
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}
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eval_results.json
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{
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"epoch": 2.0,
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"eval_loss": 1.0847766399383545,
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"eval_runtime": 298.8617,
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"eval_samples": 630,
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"eval_samples_per_second": 2.108,
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"eval_steps_per_second": 0.264,
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"perplexity": 2.9587788718964534
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"bos_token": {
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"__type": "AddedToken",
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"clean_up_tokenization_spaces": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"legacy": false,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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train_results.json
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{
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"epoch": 2.0,
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"train_loss": 0.8817351038799536,
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"train_runtime": 50140.2452,
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"train_samples": 14670,
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"train_samples_per_second": 0.585,
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"train_steps_per_second": 0.009
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}
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trainer_state.json
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