End of training
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README.md
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---
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license: apache-2.0
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base_model: google/flan-t5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: medication-lists
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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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# medication-lists
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2061
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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: 16
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- eval_batch_size: 16
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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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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.1892 | 0.46 | 50 | 0.4762 |
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| 0.5424 | 0.93 | 100 | 0.3048 |
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| 0.4029 | 1.39 | 150 | 0.2465 |
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| 0.3543 | 1.85 | 200 | 0.2272 |
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| 0.3315 | 2.31 | 250 | 0.2095 |
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| 0.3024 | 2.78 | 300 | 0.2061 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.11.0
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "google/flan-t5-small",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 1024,
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"d_kv": 64,
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"d_model": 512,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 8,
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"num_heads": 6,
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"num_layers": 8,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 200,
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarize: "
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},
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"translation_en_to_de": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to German: "
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},
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"translation_en_to_fr": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to French: "
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},
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"translation_en_to_ro": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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},
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.35.0",
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"use_cache": false,
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"vocab_size": 32128
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}
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.35.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b6002c4d6d11747c2aef18a2544ce1e74f4ec380694dec8944672a937ce0e54b
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size 307867048
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runs/Nov10_14-56-59_christopher-System-Product-Name/events.out.tfevents.1699588619.christopher-System-Product-Name.1975388.0
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version https://git-lfs.github.com/spec/v1
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size 8211
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d0a4ae8ec7c9c8b2555b2f61a8859c64b3d94081ddb22aa1aa7edd2c190f0f4
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size 4792
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