Training in progress, step 65

README.md

@@ -0,0 +1,90 @@
+---
+license: apache-2.0
+base_model: google-bert/bert-base-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert_baseline_prompt_adherence_task3_fold2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert_baseline_prompt_adherence_task3_fold2
+
+This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3817
+- Qwk: 0.6470
+- Mse: 0.3818
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Qwk    | Mse    |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
+| No log        | 0.0308 | 2    | 1.5377          | 0.0    | 1.5385 |
+| No log        | 0.0615 | 4    | 0.9550          | 0.1039 | 0.9553 |
+| No log        | 0.0923 | 6    | 0.7286          | 0.1294 | 0.7283 |
+| No log        | 0.1231 | 8    | 0.6242          | 0.0252 | 0.6236 |
+| No log        | 0.1538 | 10   | 0.6104          | 0.0252 | 0.6097 |
+| No log        | 0.1846 | 12   | 0.5825          | 0.0638 | 0.5819 |
+| No log        | 0.2154 | 14   | 0.5472          | 0.0709 | 0.5466 |
+| No log        | 0.2462 | 16   | 0.4973          | 0.1150 | 0.4968 |
+| No log        | 0.2769 | 18   | 0.4732          | 0.3908 | 0.4728 |
+| No log        | 0.3077 | 20   | 0.4665          | 0.5935 | 0.4662 |
+| No log        | 0.3385 | 22   | 0.4304          | 0.5976 | 0.4304 |
+| No log        | 0.3692 | 24   | 0.4506          | 0.5795 | 0.4507 |
+| No log        | 0.4    | 26   | 0.4830          | 0.5936 | 0.4830 |
+| No log        | 0.4308 | 28   | 0.5284          | 0.4334 | 0.5284 |
+| No log        | 0.4615 | 30   | 0.5470          | 0.4239 | 0.5469 |
+| No log        | 0.4923 | 32   | 0.5238          | 0.4711 | 0.5238 |
+| No log        | 0.5231 | 34   | 0.4764          | 0.5446 | 0.4766 |
+| No log        | 0.5538 | 36   | 0.4393          | 0.4824 | 0.4396 |
+| No log        | 0.5846 | 38   | 0.4326          | 0.4425 | 0.4329 |
+| No log        | 0.6154 | 40   | 0.4139          | 0.4814 | 0.4142 |
+| No log        | 0.6462 | 42   | 0.4079          | 0.5310 | 0.4081 |
+| No log        | 0.6769 | 44   | 0.4149          | 0.6150 | 0.4150 |
+| No log        | 0.7077 | 46   | 0.4218          | 0.6348 | 0.4218 |
+| No log        | 0.7385 | 48   | 0.4259          | 0.6583 | 0.4259 |
+| No log        | 0.7692 | 50   | 0.4150          | 0.6611 | 0.4151 |
+| No log        | 0.8    | 52   | 0.3977          | 0.6481 | 0.3977 |
+| No log        | 0.8308 | 54   | 0.3910          | 0.6396 | 0.3911 |
+| No log        | 0.8615 | 56   | 0.3892          | 0.6415 | 0.3892 |
+| No log        | 0.8923 | 58   | 0.3830          | 0.6405 | 0.3830 |
+| No log        | 0.9231 | 60   | 0.3792          | 0.6359 | 0.3792 |
+| No log        | 0.9538 | 62   | 0.3794          | 0.6359 | 0.3794 |
+| No log        | 0.9846 | 64   | 0.3817          | 0.6470 | 0.3818 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,33 @@
+{
+  "_name_or_path": "google-bert/bert-base-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "regression",
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53b8095c26e120287a196522e7fbb868cee839e200be5c58849f89f9bf69d0d4
+size 433267692

runs/Aug22_09-38-15_4a91f28c1eab/events.out.tfevents.1724319507.4a91f28c1eab.34.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d780bca46640f487aaace997a9e534dc47ca582c785247bfe137b5a6b54f293a
+size 16732

runs/Aug22_09-43-32_4a91f28c1eab/events.out.tfevents.1724319813.4a91f28c1eab.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba6e318c2d084abab07a0ce487d4a1a40a69a47c6b752f31635fd14904a10757
+size 16732

runs/Aug22_09-48-51_4a91f28c1eab/events.out.tfevents.1724320132.4a91f28c1eab.34.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14cf319845c27eda78d0ad082f4fb4af2b09bd98647668d789c7c6b808747f61
+size 16732

runs/Aug22_09-54-11_4a91f28c1eab/events.out.tfevents.1724320452.4a91f28c1eab.34.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b08a55fc3e6d524231001e78e5bcf8a111111b247ff8521853a2be3d560c4d2b
+size 16732

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76080e477b3cdf7c7bf25f32855b52b3aec91fde1612ead22ccc822cc9784db3
+size 5176