End of training
Browse files- README.md +71 -0
- adapter_config.json +17 -0
- adapter_model.bin +3 -0
- added_tokens.json +40 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer_config.json +328 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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base_model: microsoft/phi-2
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tags:
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- generated_from_trainer
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model-index:
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- name: V0402MP6
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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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# V0402MP6
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1571
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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: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine_with_restarts
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- lr_scheduler_warmup_steps: 20
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.5658 | 0.09 | 10 | 2.4014 |
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| 2.2012 | 0.18 | 20 | 1.8503 |
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| 1.6319 | 0.27 | 30 | 1.2819 |
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| 1.1652 | 0.36 | 40 | 0.8876 |
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| 0.8077 | 0.45 | 50 | 0.5264 |
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| 0.4839 | 0.54 | 60 | 0.2636 |
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| 0.2921 | 0.63 | 70 | 0.1897 |
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| 0.2277 | 0.73 | 80 | 0.1682 |
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| 0.2149 | 0.82 | 90 | 0.1602 |
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| 0.2101 | 0.91 | 100 | 0.1574 |
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| 0.2133 | 1.0 | 110 | 0.1571 |
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### Framework versions
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- Transformers 4.36.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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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": "microsoft/phi-2",
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"detached_training": false,
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"encoder_hidden_size": 2560,
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"inference_mode": true,
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"num_attention_heads": 32,
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"num_layers": 32,
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"num_prefix_set": 8,
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"num_transformer_submodules": 1,
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"num_virtual_tokens": 30,
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"ot_diversified_prefix": false,
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"peft_type": "M_PREFIX",
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"prefix_projection": false,
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"task_type": "CAUSAL_LM",
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"token_dim": 2560
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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 sha256:50088386e1877c0197a742fc02bc3864c729345d9de136a807b38441ab70c231
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size 157372042
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added_tokens.json
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:09010c337da998372a5d5cb55e7137b234523445aa72d3e98418b5bfa78fa154
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size 5716791816
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special_tokens_map.json
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tokenizer_config.json
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
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|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:b64020897d7807b163ace4edf8986710e6b2b732ec391e653bc9d20963f571d6
|
3 |
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size 5112
|
vocab.json
ADDED
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|
|