GlycerinLOL
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End of training
Browse files
README.md
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---
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base_model: google/pegasus-xsum
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tags:
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- generated_from_trainer
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metrics:
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# LLM_Teached_Pegasus
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This model
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Rouge1: 0.
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- Rouge2: 0.
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- Rougel: 0.
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- Rougelsum: 0.
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- Gen Len:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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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 Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 1.
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### Framework versions
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---
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tags:
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- generated_from_trainer
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metrics:
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# LLM_Teached_Pegasus
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6452
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- Rouge1: 0.4595
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- Rouge2: 0.2033
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- Rougel: 0.3629
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- Rougelsum: 0.3628
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- Gen Len: 30.8536
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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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: 4
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- total_train_batch_size: 32
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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 Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 1.7637 | 1.0 | 625 | 1.6549 | 0.4591 | 0.205 | 0.3628 | 0.3628 | 30.8636 |
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| 1.7226 | 2.0 | 1250 | 1.6452 | 0.4595 | 0.2033 | 0.3629 | 0.3628 | 30.8536 |
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### Framework versions
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generation_config.json
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"forced_eos_token_id": 1,
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"length_penalty": 0.
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"max_length":
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"num_beams": 8,
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"pad_token_id": 0,
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"transformers_version": "4.36.0"
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"forced_eos_token_id": 1,
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"length_penalty": 0.8,
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"max_length": 256,
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"num_beams": 8,
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"pad_token_id": 0,
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"transformers_version": "4.36.0"
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model.safetensors
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oid sha256:
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size 2283652852
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version https://git-lfs.github.com/spec/v1
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size 2283652852
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runs/Dec28_11-12-24_n4bcoectr1703727001286-fmclw/events.out.tfevents.1703733148.n4bcoectr1703727001286-fmclw.64933.0
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size
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size 8715
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