End of training
Browse files- README.md +71 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +13 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May16_13-51-04_imran-Precision-Tower-7910/events.out.tfevents.1715849498.imran-Precision-Tower-7910.3233262.0 +3 -0
- runs/May16_13-54-13_imran-Precision-Tower-7910/events.out.tfevents.1715849706.imran-Precision-Tower-7910.3233683.0 +3 -0
- runs/May16_14-14-10_imran-Precision-Tower-7910/events.out.tfevents.1715850899.imran-Precision-Tower-7910.3234996.0 +3 -0
- runs/May16_14-14-10_imran-Precision-Tower-7910/events.out.tfevents.1715860793.imran-Precision-Tower-7910.3234996.1 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +129 -0
- train_results.json +8 -0
- trainer_state.json +1660 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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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: microsoft/Phi-3-mini-4k-instruct
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datasets:
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- generator
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model-index:
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- name: checkpoint_update
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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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# checkpoint_update
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9356
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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: 1
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- eval_batch_size: 1
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- seed: 0
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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_ratio: 0.2
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.1904 | 0.5618 | 500 | 1.0617 |
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| 0.765 | 1.1236 | 1000 | 0.9442 |
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| 0.782 | 1.6854 | 1500 | 0.8690 |
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| 0.5591 | 2.2472 | 2000 | 0.8647 |
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| 0.5669 | 2.8090 | 2500 | 0.8296 |
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| 0.4205 | 3.3708 | 3000 | 0.8820 |
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| 0.3812 | 3.9326 | 3500 | 0.8859 |
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| 0.3323 | 4.4944 | 4000 | 0.9360 |
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.41.0.dev0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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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": "microsoft/Phi-3-mini-4k-instruct",
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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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"layer_replication": null,
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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": 0.05,
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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": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"down_proj",
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"qkv_proj",
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"gate_up_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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added_tokens.json
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all_results.json
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{
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"total_flos": 1.024663401529344e+17,
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"train_loss": 0.6764815047617708,
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eval_results.json
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runs/May16_13-51-04_imran-Precision-Tower-7910/events.out.tfevents.1715849498.imran-Precision-Tower-7910.3233262.0
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special_tokens_map.json
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tokenizer.json
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See raw diff
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tokenizer.model
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tokenizer_config.json
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"32008": {
|
94 |
+
"content": "<|placeholder5|>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": true,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"32009": {
|
102 |
+
"content": "<|placeholder6|>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": true,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"32010": {
|
110 |
+
"content": "<|user|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": true,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
}
|
117 |
+
},
|
118 |
+
"bos_token": "<s>",
|
119 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
|
120 |
+
"clean_up_tokenization_spaces": false,
|
121 |
+
"eos_token": "<|endoftext|>",
|
122 |
+
"model_max_length": 1024,
|
123 |
+
"pad_token": "<unk>",
|
124 |
+
"padding_side": "right",
|
125 |
+
"sp_model_kwargs": {},
|
126 |
+
"tokenizer_class": "LlamaTokenizer",
|
127 |
+
"unk_token": "<unk>",
|
128 |
+
"use_default_system_prompt": false
|
129 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
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1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"total_flos": 1.024663401529344e+17,
|
4 |
+
"train_loss": 0.6764815047617708,
|
5 |
+
"train_runtime": 9686.8536,
|
6 |
+
"train_samples_per_second": 0.459,
|
7 |
+
"train_steps_per_second": 0.459
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1660 @@
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