End of training
Browse files- README.md +6 -27
- model-00001-of-00002.safetensors +2 -2
- model-00002-of-00002.safetensors +2 -2
- model.safetensors.index.json +326 -454
- pytorch_model-00001-of-00002.bin +2 -2
- pytorch_model-00002-of-00002.bin +2 -2
- pytorch_model.bin.index.json +326 -454
README.md
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axolotl version: `0.3.0`
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```yaml
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base_model: microsoft/phi-2
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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trust_remote_code: true
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hf_use_auth_token: true
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datasets:
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- path: satpalsr/
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type: completion
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dataset_prepared_path:
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val_set_size: 0.
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output_dir: ./
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sequence_len: 2048
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sample_packing: false # currently unsupported
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gradient_accumulation_steps: 1
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micro_batch_size: 16
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num_epochs:
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optimizer: paged_adamw_8bit
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adam_beta2: 0.95
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adam_epsilon: 0.00001
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flash_attention: false
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warmup_steps: 100
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evals_per_epoch: 4
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saves_per_epoch: 1
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debug:
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deepspeed:
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# phi2-filter2
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1944
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## Model description
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 100
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.5676 | 0.01 | 1 | 2.5391 |
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| 2.4364 | 0.25 | 29 | 2.4042 |
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| 1.9523 | 0.5 | 58 | 1.8580 |
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| 1.1137 | 0.75 | 87 | 0.9535 |
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| 0.5107 | 1.0 | 116 | 0.4195 |
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| 0.4588 | 1.25 | 145 | 0.2877 |
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| 0.2876 | 1.5 | 174 | 0.2462 |
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| 0.2959 | 1.75 | 203 | 0.2264 |
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| 0.2197 | 2.0 | 232 | 0.2114 |
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| 0.3045 | 2.25 | 261 | 0.2052 |
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| 0.2726 | 2.5 | 290 | 0.2022 |
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| 0.3046 | 2.75 | 319 | 0.1975 |
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| 0.3316 | 3.0 | 348 | 0.1954 |
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| 0.2223 | 3.25 | 377 | 0.1950 |
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| 0.2609 | 3.5 | 406 | 0.1946 |
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| 0.2739 | 3.75 | 435 | 0.1945 |
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| 0.2703 | 4.0 | 464 | 0.1944 |
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### Framework versions
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axolotl version: `0.3.0`
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```yaml
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base_model: microsoft/phi-2
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model_revision: 834565c # pin model repo to the previous architecture
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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trust_remote_code: true
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hf_use_auth_token: true
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datasets:
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- path: satpalsr/phifilter
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type: completion
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dataset_prepared_path:
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val_set_size: 0.0
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output_dir: ./phi2-filter2
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sequence_len: 2048
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sample_packing: false # currently unsupported
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gradient_accumulation_steps: 1
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micro_batch_size: 16
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num_epochs: 16
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optimizer: paged_adamw_8bit
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adam_beta2: 0.95
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adam_epsilon: 0.00001
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flash_attention: false
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warmup_steps: 100
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saves_per_epoch: 1
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debug:
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deepspeed:
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# phi2-filter2
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
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## Model description
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 16
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### Training results
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### Framework versions
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model-00001-of-00002.safetensors
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model.safetensors.index.json
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"metadata": {
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"weight_map": {
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"model.layers.3.mlp.fc2.bias": "model-00001-of-00002.safetensors",
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| 332 |
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