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weightx2.0_zephyr3b_aisft_gsm8k_seq_alphalinear_beta0.1_epoch2-subset7000
Browse files- README.md +56 -0
- adapter_config.json +28 -0
- adapter_model.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +213 -0
- training_args.bin +3 -0
README.md
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---
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license: other
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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base_model: stabilityai/stablelm-zephyr-3b
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model-index:
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- name: weightx2.0_zephyr3b_aisft_gsm8k_seq_alphalinear_beta0.1_epoch2-subset7000
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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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# weightx2.0_zephyr3b_aisft_gsm8k_seq_alphalinear_beta0.1_epoch2-subset7000
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This model is a fine-tuned version of [stabilityai/stablelm-zephyr-3b](https://huggingface.co/stabilityai/stablelm-zephyr-3b) on an unknown dataset.
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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: 5e-05
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- train_batch_size: 1
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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: 2
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### Training results
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### Framework versions
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- PEFT 0.9.0
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "stabilityai/stablelm-zephyr-3b",
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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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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fac58c844d6e53d4be29b11eacf2b00efbd004a617b6ddd988cf799f34543203
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size 41960248
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"single_word": false
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"pad_token": {
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"unk_token": {
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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_config.json
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"bos_token": "<|endoftext|>",
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+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
207 |
+
"clean_up_tokenization_spaces": true,
|
208 |
+
"eos_token": "<|endoftext|>",
|
209 |
+
"model_max_length": 2048,
|
210 |
+
"pad_token": "<|endoftext|>",
|
211 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
212 |
+
"unk_token": "<|endoftext|>"
|
213 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5a56128ac4e1a9d2bd6ceeb7399a7037dcfb7a2de874ba4c46277661aaedacc1
|
3 |
+
size 4984
|