farshadafx
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End of training
Browse files- README.md +10 -15
- config.json +10 -3
- generation_config.json +1 -1
- model.safetensors +2 -2
- runs/Dec10_17-54-16_92ff5bf1e590/events.out.tfevents.1702230867.92ff5bf1e590.42.0 +3 -0
- training_args.bin +1 -1
README.md
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---
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license:
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base_model:
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tags:
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- generated_from_trainer
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model-index:
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# LEDA-v1
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 5.3486
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size:
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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_steps: 1000
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- num_epochs:
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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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| 5.3987 | 0.8 | 5000 | 5.3486 |
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### Framework versions
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- Transformers 4.35.
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.
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---
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license: apache-2.0
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base_model: distilgpt2
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tags:
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- generated_from_trainer
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model-index:
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# LEDA-v1
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.002
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- train_batch_size: 64
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 512
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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_steps: 1000
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- num_epochs: 4
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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"bos_token_id": 0,
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"embd_pdrop": 0.1,
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"eos_token_id": 0,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 160,
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer":
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"n_positions": 1024,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.35.
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"use_cache": true,
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"vocab_size": 3372
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}
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{
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"_name_or_path": "distilgpt2",
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"_num_labels": 1,
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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"bos_token_id": 0,
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"embd_pdrop": 0.1,
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"eos_token_id": 0,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 160,
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 6,
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"n_positions": 1024,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"use_cache": true,
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"vocab_size": 3372
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}
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generation_config.json
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"transformers_version": "4.35.
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}
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"transformers_version": "4.35.2"
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}
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model.safetensors
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runs/Dec10_17-54-16_92ff5bf1e590/events.out.tfevents.1702230867.92ff5bf1e590.42.0
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training_args.bin
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