---
tags:
- sentence-transformers
- cross-encoder
- reranker
- generated_from_trainer
- dataset_size:5000000
- loss:FitMixinLoss
base_model: microsoft/MiniLM-L12-H384-uncased
pipeline_tag: text-ranking
library_name: sentence-transformers
---
# CrossEncoder based on microsoft/MiniLM-L12-H384-uncased
This is a [Cross Encoder](https://www.sbert.net/docs/cross_encoder/usage/usage.html) model finetuned from [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) using the [sentence-transformers](https://www.SBERT.net) library. It computes scores for pairs of texts, which can be used for text reranking and semantic search.
## Model Details
### Model Description
- **Model Type:** Cross Encoder
- **Base model:** [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased)
- **Maximum Sequence Length:** 256 tokens
- **Number of Output Labels:** 1 label
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Documentation:** [Cross Encoder Documentation](https://www.sbert.net/docs/cross_encoder/usage/usage.html)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Cross Encoders on Hugging Face](https://huggingface.co/models?library=sentence-transformers&other=cross-encoder)
## Usage
### Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
```bash
pip install -U sentence-transformers
```
Then you can load this model and run inference.
```python
from sentence_transformers import CrossEncoder
# Download from the 🤗 Hub
model = CrossEncoder("cross_encoder_model_id")
# Get scores for pairs of texts
pairs = [
['11 [SEP] what is a bumblebee', 'Bumblebee is one of the smallest and physically weakest Autobots. While his stature allows him to do his job better than most Autobots could manage, he is self-conscious about his size. Maybe this is why he makes fast friends among the humans.'],
['14 [SEP] what kingdom do viruses belong to', "A: Earthworms belong to phylum annelida. This phylum is part of the animal kingdom and includes marine, freshwater and terrestrial worms in addition to leeches. The phylum annelida is characterized by its members' body segments."],
['19 [SEP] when was george lucas born', 'Star Wars is an American epic space opera franchise centered on a film series created by George Lucas.'],
['28 [SEP] weather in upper marlboro', 'Upper Marlboro 5 Day Weather. Saturday:The Upper Marlboro forecast for Apr 15 is 59 degrees and Overcast. There is 65 percentage chance of rain and 11 mph winds from the South. Sunday:The Upper Marlboro forecast for Apr 16 is 68 degrees and Partly cloudy. There is 53 percentage chance of rain and 14 mph winds from the West-Southwest. Monday:The Upper Marlboro forecast for Apr 17 is 69 degrees and Cloudy. There is 38 percentage chance of rain and 11 mph winds from the North-Northwest.'],
['10 [SEP] what year was a zipper created', "Ziploc is a brand of disposable, re-sealable zipper storage bags and containers originally developed by Dow Chemical Company, and now produced by S. C. Johnson & Son. Accordinâ\x80¦g to Dow's website, the bags were originally test marketed in 1968."],
]
scores = model.predict(pairs)
print(scores.shape)
# (5,)
# Or rank different texts based on similarity to a single text
ranks = model.rank(
'11 [SEP] what is a bumblebee',
[
'Bumblebee is one of the smallest and physically weakest Autobots. While his stature allows him to do his job better than most Autobots could manage, he is self-conscious about his size. Maybe this is why he makes fast friends among the humans.',
"A: Earthworms belong to phylum annelida. This phylum is part of the animal kingdom and includes marine, freshwater and terrestrial worms in addition to leeches. The phylum annelida is characterized by its members' body segments.",
'Star Wars is an American epic space opera franchise centered on a film series created by George Lucas.',
'Upper Marlboro 5 Day Weather. Saturday:The Upper Marlboro forecast for Apr 15 is 59 degrees and Overcast. There is 65 percentage chance of rain and 11 mph winds from the South. Sunday:The Upper Marlboro forecast for Apr 16 is 68 degrees and Partly cloudy. There is 53 percentage chance of rain and 14 mph winds from the West-Southwest. Monday:The Upper Marlboro forecast for Apr 17 is 69 degrees and Cloudy. There is 38 percentage chance of rain and 11 mph winds from the North-Northwest.',
"Ziploc is a brand of disposable, re-sealable zipper storage bags and containers originally developed by Dow Chemical Company, and now produced by S. C. Johnson & Son. Accordinâ\x80¦g to Dow's website, the bags were originally test marketed in 1968.",
]
)
# [{'corpus_id': ..., 'score': ...}, {'corpus_id': ..., 'score': ...}, ...]
```
## Training Details
### Training Dataset
#### Unnamed Dataset
* Size: 5,000,000 training samples
* Columns: sentence_0, sentence_1, and label
* Approximate statistics based on the first 1000 samples:
| | sentence_0 | sentence_1 | label |
|:--------|:------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------|
| type | string | string | float |
| details | - min: 16 characters
- mean: 43.38 characters
- max: 182 characters
| - min: 61 characters
- mean: 346.12 characters
- max: 1042 characters
| - min: -11.86
- mean: 0.58
- max: 10.99
|
* Samples:
| sentence_0 | sentence_1 | label |
|:--------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------|
| 11 [SEP] what is a bumblebee | Bumblebee is one of the smallest and physically weakest Autobots. While his stature allows him to do his job better than most Autobots could manage, he is self-conscious about his size. Maybe this is why he makes fast friends among the humans. | 9.059940656026205 |
| 14 [SEP] what kingdom do viruses belong to | A: Earthworms belong to phylum annelida. This phylum is part of the animal kingdom and includes marine, freshwater and terrestrial worms in addition to leeches. The phylum annelida is characterized by its members' body segments. | -3.277885595957438 |
| 19 [SEP] when was george lucas born | Star Wars is an American epic space opera franchise centered on a film series created by George Lucas. | -6.936024824778239 |
* Loss: [FitMixinLoss](https://sbert.net/docs/package_reference/cross_encoder/losses.html#fitmixinloss)
### Training Hyperparameters
#### Non-Default Hyperparameters
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 32
- `num_train_epochs`: 1
- `fp16`: True
#### All Hyperparameters
Click to expand
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: no
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 32
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 5e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1
- `num_train_epochs`: 1
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.0
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `bf16`: False
- `fp16`: True
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: False
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `parallelism_config`: None
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch_fused
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `project`: huggingface
- `trackio_space_id`: trackio
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: None
- `hub_always_push`: False
- `hub_revision`: None
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`:
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: no
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `liger_kernel_config`: None
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: True
- `prompts`: None
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: proportional
- `router_mapping`: {}
- `learning_rate_mapping`: {}
Click to expand
| Epoch | Step | Training Loss |
|:------:|:------:|:-------------:|
| 0.0032 | 500 | 59.9783 |
| 0.0064 | 1000 | 59.2136 |
| 0.0096 | 1500 | 45.5225 |
| 0.0128 | 2000 | 35.2272 |
| 0.016 | 2500 | 27.4072 |
| 0.0192 | 3000 | 20.5064 |
| 0.0224 | 3500 | 14.9079 |
| 0.0256 | 4000 | 10.5768 |
| 0.0288 | 4500 | 8.0322 |
| 0.032 | 5000 | 6.6162 |
| 0.0352 | 5500 | 5.5398 |
| 0.0384 | 6000 | 4.8188 |
| 0.0416 | 6500 | 4.3552 |
| 0.0448 | 7000 | 4.2357 |
| 0.048 | 7500 | 3.8302 |
| 0.0512 | 8000 | 3.6362 |
| 0.0544 | 8500 | 3.6564 |
| 0.0576 | 9000 | 3.4237 |
| 0.0608 | 9500 | 3.3077 |
| 0.064 | 10000 | 3.3007 |
| 0.0672 | 10500 | 3.1063 |
| 0.0704 | 11000 | 3.1284 |
| 0.0736 | 11500 | 3.0224 |
| 0.0768 | 12000 | 2.9805 |
| 0.08 | 12500 | 2.9563 |
| 0.0832 | 13000 | 2.8132 |
| 0.0864 | 13500 | 2.7918 |
| 0.0896 | 14000 | 2.7815 |
| 0.0928 | 14500 | 2.7124 |
| 0.096 | 15000 | 2.6761 |
| 0.0992 | 15500 | 2.6197 |
| 0.1024 | 16000 | 2.6526 |
| 0.1056 | 16500 | 2.5311 |
| 0.1088 | 17000 | 2.5568 |
| 0.112 | 17500 | 2.6828 |
| 0.1152 | 18000 | 2.4638 |
| 0.1184 | 18500 | 2.4284 |
| 0.1216 | 19000 | 2.4414 |
| 0.1248 | 19500 | 2.3855 |
| 0.128 | 20000 | 2.333 |
| 0.1312 | 20500 | 2.4313 |
| 0.1344 | 21000 | 2.3931 |
| 0.1376 | 21500 | 2.2852 |
| 0.1408 | 22000 | 2.305 |
| 0.144 | 22500 | 2.2756 |
| 0.1472 | 23000 | 2.3067 |
| 0.1504 | 23500 | 2.1949 |
| 0.1536 | 24000 | 2.2292 |
| 0.1568 | 24500 | 2.1303 |
| 0.16 | 25000 | 2.263 |
| 0.1632 | 25500 | 2.1788 |
| 0.1664 | 26000 | 2.2207 |
| 0.1696 | 26500 | 2.1475 |
| 0.1728 | 27000 | 2.164 |
| 0.176 | 27500 | 2.153 |
| 0.1792 | 28000 | 2.1501 |
| 0.1824 | 28500 | 2.053 |
| 0.1856 | 29000 | 2.0759 |
| 0.1888 | 29500 | 2.0559 |
| 0.192 | 30000 | 2.0965 |
| 0.1952 | 30500 | 2.0919 |
| 0.1984 | 31000 | 2.0474 |
| 0.2016 | 31500 | 2.0588 |
| 0.2048 | 32000 | 2.0081 |
| 0.208 | 32500 | 1.9454 |
| 0.2112 | 33000 | 2.0132 |
| 0.2144 | 33500 | 1.9604 |
| 0.2176 | 34000 | 1.9983 |
| 0.2208 | 34500 | 1.96 |
| 0.224 | 35000 | 2.0316 |
| 0.2272 | 35500 | 1.9134 |
| 0.2304 | 36000 | 1.8939 |
| 0.2336 | 36500 | 1.9711 |
| 0.2368 | 37000 | 1.8776 |
| 0.24 | 37500 | 1.9105 |
| 0.2432 | 38000 | 1.9143 |
| 0.2464 | 38500 | 1.9823 |
| 0.2496 | 39000 | 1.8753 |
| 0.2528 | 39500 | 1.8919 |
| 0.256 | 40000 | 1.9114 |
| 0.2592 | 40500 | 1.7991 |
| 0.2624 | 41000 | 1.9024 |
| 0.2656 | 41500 | 1.8768 |
| 0.2688 | 42000 | 1.8603 |
| 0.272 | 42500 | 1.8989 |
| 0.2752 | 43000 | 1.8351 |
| 0.2784 | 43500 | 1.9194 |
| 0.2816 | 44000 | 1.8442 |
| 0.2848 | 44500 | 1.7796 |
| 0.288 | 45000 | 1.8053 |
| 0.2912 | 45500 | 1.8206 |
| 0.2944 | 46000 | 1.7968 |
| 0.2976 | 46500 | 1.7822 |
| 0.3008 | 47000 | 1.8164 |
| 0.304 | 47500 | 1.8004 |
| 0.3072 | 48000 | 1.7753 |
| 0.3104 | 48500 | 1.7208 |
| 0.3136 | 49000 | 1.7466 |
| 0.3168 | 49500 | 1.7683 |
| 0.32 | 50000 | 1.74 |
| 0.3232 | 50500 | 1.7443 |
| 0.3264 | 51000 | 1.7038 |
| 0.3296 | 51500 | 1.7652 |
| 0.3328 | 52000 | 1.7273 |
| 0.336 | 52500 | 1.6958 |
| 0.3392 | 53000 | 1.7244 |
| 0.3424 | 53500 | 1.7494 |
| 0.3456 | 54000 | 1.7154 |
| 0.3488 | 54500 | 1.639 |
| 0.352 | 55000 | 1.7243 |
| 0.3552 | 55500 | 1.7498 |
| 0.3584 | 56000 | 1.6738 |
| 0.3616 | 56500 | 1.7433 |
| 0.3648 | 57000 | 1.6463 |
| 0.368 | 57500 | 1.6569 |
| 0.3712 | 58000 | 1.6156 |
| 0.3744 | 58500 | 1.6724 |
| 0.3776 | 59000 | 1.6717 |
| 0.3808 | 59500 | 1.6632 |
| 0.384 | 60000 | 1.6583 |
| 0.3872 | 60500 | 1.6025 |
| 0.3904 | 61000 | 1.673 |
| 0.3936 | 61500 | 1.6196 |
| 0.3968 | 62000 | 1.5965 |
| 0.4 | 62500 | 1.6495 |
| 0.4032 | 63000 | 1.6045 |
| 0.4064 | 63500 | 1.6149 |
| 0.4096 | 64000 | 1.6235 |
| 0.4128 | 64500 | 1.6124 |
| 0.416 | 65000 | 1.6573 |
| 0.4192 | 65500 | 1.564 |
| 0.4224 | 66000 | 1.6334 |
| 0.4256 | 66500 | 1.6125 |
| 0.4288 | 67000 | 1.5991 |
| 0.432 | 67500 | 1.6553 |
| 0.4352 | 68000 | 1.5881 |
| 0.4384 | 68500 | 1.5837 |
| 0.4416 | 69000 | 1.6174 |
| 0.4448 | 69500 | 1.5853 |
| 0.448 | 70000 | 1.5943 |
| 0.4512 | 70500 | 1.5788 |
| 0.4544 | 71000 | 1.5897 |
| 0.4576 | 71500 | 1.5761 |
| 0.4608 | 72000 | 1.5861 |
| 0.464 | 72500 | 1.5995 |
| 0.4672 | 73000 | 1.5139 |
| 0.4704 | 73500 | 1.5077 |
| 0.4736 | 74000 | 1.5454 |
| 0.4768 | 74500 | 1.5739 |
| 0.48 | 75000 | 1.5388 |
| 0.4832 | 75500 | 1.5605 |
| 0.4864 | 76000 | 1.5008 |
| 0.4896 | 76500 | 1.5394 |
| 0.4928 | 77000 | 1.5495 |
| 0.496 | 77500 | 1.5117 |
| 0.4992 | 78000 | 1.5299 |
| 0.5024 | 78500 | 1.5119 |
| 0.5056 | 79000 | 1.5316 |
| 0.5088 | 79500 | 1.495 |
| 0.512 | 80000 | 1.5183 |
| 0.5152 | 80500 | 1.5114 |
| 0.5184 | 81000 | 1.588 |
| 0.5216 | 81500 | 1.529 |
| 0.5248 | 82000 | 1.4675 |
| 0.528 | 82500 | 1.461 |
| 0.5312 | 83000 | 1.5184 |
| 0.5344 | 83500 | 1.5096 |
| 0.5376 | 84000 | 1.4947 |
| 0.5408 | 84500 | 1.5226 |
| 0.544 | 85000 | 1.4527 |
| 0.5472 | 85500 | 1.5005 |
| 0.5504 | 86000 | 1.4343 |
| 0.5536 | 86500 | 1.5295 |
| 0.5568 | 87000 | 1.5124 |
| 0.56 | 87500 | 1.4846 |
| 0.5632 | 88000 | 1.4529 |
| 0.5664 | 88500 | 1.5142 |
| 0.5696 | 89000 | 1.4657 |
| 0.5728 | 89500 | 1.4037 |
| 0.576 | 90000 | 1.5109 |
| 0.5792 | 90500 | 1.4811 |
| 0.5824 | 91000 | 1.4747 |
| 0.5856 | 91500 | 1.4703 |
| 0.5888 | 92000 | 1.4983 |
| 0.592 | 92500 | 1.5026 |
| 0.5952 | 93000 | 1.4535 |
| 0.5984 | 93500 | 1.4487 |
| 0.6016 | 94000 | 1.4738 |
| 0.6048 | 94500 | 1.4541 |
| 0.608 | 95000 | 1.4961 |
| 0.6112 | 95500 | 1.4642 |
| 0.6144 | 96000 | 1.4701 |
| 0.6176 | 96500 | 1.4009 |
| 0.6208 | 97000 | 1.4525 |
| 0.624 | 97500 | 1.4293 |
| 0.6272 | 98000 | 1.4813 |
| 0.6304 | 98500 | 1.4325 |
| 0.6336 | 99000 | 1.442 |
| 0.6368 | 99500 | 1.3995 |
| 0.64 | 100000 | 1.4422 |
| 0.6432 | 100500 | 1.4562 |
| 0.6464 | 101000 | 1.3974 |
| 0.6496 | 101500 | 1.41 |
| 0.6528 | 102000 | 1.4163 |
| 0.656 | 102500 | 1.3739 |
| 0.6592 | 103000 | 1.4092 |
| 0.6624 | 103500 | 1.4165 |
| 0.6656 | 104000 | 1.3969 |
| 0.6688 | 104500 | 1.3604 |
| 0.672 | 105000 | 1.4236 |
| 0.6752 | 105500 | 1.3966 |
| 0.6784 | 106000 | 1.3986 |
| 0.6816 | 106500 | 1.4416 |
| 0.6848 | 107000 | 1.4469 |
| 0.688 | 107500 | 1.3491 |
| 0.6912 | 108000 | 1.3696 |
| 0.6944 | 108500 | 1.4174 |
| 0.6976 | 109000 | 1.4076 |
| 0.7008 | 109500 | 1.3907 |
| 0.704 | 110000 | 1.4002 |
| 0.7072 | 110500 | 1.4038 |
| 0.7104 | 111000 | 1.3615 |
| 0.7136 | 111500 | 1.3949 |
| 0.7168 | 112000 | 1.3701 |
| 0.72 | 112500 | 1.4129 |
| 0.7232 | 113000 | 1.363 |
| 0.7264 | 113500 | 1.4329 |
| 0.7296 | 114000 | 1.3815 |
| 0.7328 | 114500 | 1.4081 |
| 0.736 | 115000 | 1.3349 |
| 0.7392 | 115500 | 1.3973 |
| 0.7424 | 116000 | 1.4061 |
| 0.7456 | 116500 | 1.3453 |
| 0.7488 | 117000 | 1.4026 |
| 0.752 | 117500 | 1.4208 |
| 0.7552 | 118000 | 1.3831 |
| 0.7584 | 118500 | 1.3848 |
| 0.7616 | 119000 | 1.3612 |
| 0.7648 | 119500 | 1.3605 |
| 0.768 | 120000 | 1.3819 |
| 0.7712 | 120500 | 1.3848 |
| 0.7744 | 121000 | 1.3684 |
| 0.7776 | 121500 | 1.3351 |
| 0.7808 | 122000 | 1.3105 |
| 0.784 | 122500 | 1.3632 |
| 0.7872 | 123000 | 1.3292 |
| 0.7904 | 123500 | 1.3687 |
| 0.7936 | 124000 | 1.3921 |
| 0.7968 | 124500 | 1.365 |
| 0.8 | 125000 | 1.4125 |
| 0.8032 | 125500 | 1.3744 |
| 0.8064 | 126000 | 1.3761 |
| 0.8096 | 126500 | 1.3648 |
| 0.8128 | 127000 | 1.3296 |
| 0.816 | 127500 | 1.3268 |
| 0.8192 | 128000 | 1.3452 |
| 0.8224 | 128500 | 1.2776 |
| 0.8256 | 129000 | 1.3698 |
| 0.8288 | 129500 | 1.3082 |
| 0.832 | 130000 | 1.3633 |
| 0.8352 | 130500 | 1.3342 |
| 0.8384 | 131000 | 1.353 |
| 0.8416 | 131500 | 1.3235 |
| 0.8448 | 132000 | 1.3248 |
| 0.848 | 132500 | 1.3217 |
| 0.8512 | 133000 | 1.2987 |
| 0.8544 | 133500 | 1.3315 |
| 0.8576 | 134000 | 1.3236 |
| 0.8608 | 134500 | 1.3408 |
| 0.864 | 135000 | 1.3374 |
| 0.8672 | 135500 | 1.3414 |
| 0.8704 | 136000 | 1.3265 |
| 0.8736 | 136500 | 1.3494 |
| 0.8768 | 137000 | 1.3242 |
| 0.88 | 137500 | 1.3467 |
| 0.8832 | 138000 | 1.3015 |
| 0.8864 | 138500 | 1.3263 |
| 0.8896 | 139000 | 1.3156 |
| 0.8928 | 139500 | 1.3236 |
| 0.896 | 140000 | 1.3199 |
| 0.8992 | 140500 | 1.2884 |
| 0.9024 | 141000 | 1.3108 |
| 0.9056 | 141500 | 1.3395 |
| 0.9088 | 142000 | 1.3369 |
| 0.912 | 142500 | 1.3775 |
| 0.9152 | 143000 | 1.3051 |
| 0.9184 | 143500 | 1.304 |
| 0.9216 | 144000 | 1.2586 |
| 0.9248 | 144500 | 1.3062 |
| 0.928 | 145000 | 1.3766 |
| 0.9312 | 145500 | 1.3018 |
| 0.9344 | 146000 | 1.3378 |
| 0.9376 | 146500 | 1.3242 |
| 0.9408 | 147000 | 1.3094 |
| 0.944 | 147500 | 1.2792 |
| 0.9472 | 148000 | 1.3306 |
| 0.9504 | 148500 | 1.3269 |
| 0.9536 | 149000 | 1.3134 |
| 0.9568 | 149500 | 1.263 |
| 0.96 | 150000 | 1.3085 |
| 0.9632 | 150500 | 1.2959 |
| 0.9664 | 151000 | 1.323 |
| 0.9696 | 151500 | 1.3102 |
| 0.9728 | 152000 | 1.2929 |
| 0.976 | 152500 | 1.2887 |
| 0.9792 | 153000 | 1.307 |
| 0.9824 | 153500 | 1.3269 |
| 0.9856 | 154000 | 1.3066 |
| 0.9888 | 154500 | 1.3549 |
| 0.992 | 155000 | 1.3293 |
| 0.9952 | 155500 | 1.2797 |
| 0.9984 | 156000 | 1.2933 |