Training in progress, step 500
Browse files- README.md +71 -0
- all_results.json +7 -0
- config.json +33 -0
- mlm_eval_results.json +7 -0
- model.safetensors +3 -0
- trainer_state.json +676 -0
- training_args.bin +3 -0
README.md
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---
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base_model: dccuchile/distilbert-base-spanish-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbert-base-spanish-uncased-2023-11-13-18-01
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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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# distilbert-base-spanish-uncased-2023-11-13-18-01
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This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3884
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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: 5e-05
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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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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.5316 | 0.59 | 500 | 2.2591 |
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| 2.2197 | 1.19 | 1000 | 1.9800 |
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| 2.0108 | 1.78 | 1500 | 1.8304 |
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| 1.855 | 2.38 | 2000 | 1.7229 |
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| 1.7933 | 2.97 | 2500 | 1.6561 |
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| 1.7466 | 3.56 | 3000 | 1.6101 |
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| 1.6906 | 4.16 | 3500 | 1.5588 |
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| 1.6301 | 4.75 | 4000 | 1.5264 |
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| 1.6131 | 5.34 | 4500 | 1.4893 |
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| 1.5731 | 5.94 | 5000 | 1.4626 |
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| 1.5248 | 6.53 | 5500 | 1.4445 |
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| 1.509 | 7.13 | 6000 | 1.4274 |
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| 1.5083 | 7.72 | 6500 | 1.4109 |
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| 1.5277 | 8.31 | 7000 | 1.4051 |
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| 1.4884 | 8.91 | 7500 | 1.3872 |
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| 1.496 | 9.5 | 8000 | 1.3912 |
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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 2.14.6
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- Tokenizers 0.14.1
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all_results.json
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{
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"epoch": 10.0,
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"eval_loss": 1.3867350816726685,
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"eval_runtime": 34.1096,
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"eval_samples_per_second": 131.547,
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"eval_steps_per_second": 8.238
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}
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config.json
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{
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"_name_or_path": "dccuchile/albert-base-spanish",
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"architectures": [
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"AlbertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 12,
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"num_hidden_groups": 1,
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"num_hidden_layers": 12,
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"num_memory_blocks": 0,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.35.0",
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"type_vocab_size": 2,
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"vocab_size": 31000
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}
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mlm_eval_results.json
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{
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"epoch": 10.0,
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"eval_loss": 1.3867350816726685,
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"eval_runtime": 34.1096,
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"eval_samples_per_second": 131.547,
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"eval_steps_per_second": 8.238
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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:da273ea1f686a4ce2a870c54e6c3801520c0c4af3d5fca2a8ec2d3bd2d8c8dd9
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size 45406256
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trainer_state.json
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{
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"best_metric": 1.387204885482788,
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"best_model_checkpoint": "output_dir/checkpoint-7500",
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"epoch": 10.0,
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"eval_steps": 500,
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"global_step": 8420,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.12,
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"learning_rate": 4.9406175771971496e-05,
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"loss": 3.5781,
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"step": 100
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},
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{
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"epoch": 0.24,
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"learning_rate": 4.8812351543942996e-05,
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"loss": 3.0221,
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"step": 200
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},
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{
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"epoch": 0.36,
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"learning_rate": 4.821852731591449e-05,
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"loss": 2.7656,
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"step": 300
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