End of training

README.md

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+---
+library_name: transformers
+license: other
+base_model: facebook/opt-125m
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- rouge
+model-index:
+- name: 1e22b46b8eddf5a05a4230f8924cd07c
+  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. -->
+
+# 1e22b46b8eddf5a05a4230f8924cd07c
+
+This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the nyu-mll/glue [wnli] dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7375
+- Data Size: 0.5
+- Epoch Runtime: 1.6726
+- Accuracy: 0.4375
+- F1 Macro: 0.3263
+- Rouge1: 0.4375
+- Rouge2: 0.0
+- Rougel: 0.4375
+- Rougelsum: 0.4375
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:--------:|:--------:|:------:|:------:|:------:|:---------:|
+| No log        | 0     | 0    | 1.1491          | 0         | 0.8410        | 0.4219   | 0.2967   | 0.4219 | 0.0    | 0.4219 | 0.4219    |
+| No log        | 1     | 19   | 1.0610          | 0.0078    | 0.9634        | 0.5469   | 0.3535   | 0.5469 | 0.0    | 0.5469 | 0.5469    |
+| No log        | 2     | 38   | 0.7931          | 0.0156    | 0.9641        | 0.5469   | 0.3535   | 0.5469 | 0.0    | 0.5469 | 0.5469    |
+| No log        | 3     | 57   | 0.7310          | 0.0312    | 1.0373        | 0.5      | 0.4330   | 0.5    | 0.0    | 0.5    | 0.5       |
+| No log        | 4     | 76   | 0.8235          | 0.0625    | 1.0913        | 0.4062   | 0.3552   | 0.4062 | 0.0    | 0.4062 | 0.4062    |
+| No log        | 5     | 95   | 0.8062          | 0.125     | 1.0666        | 0.4531   | 0.3347   | 0.4531 | 0.0    | 0.4531 | 0.4531    |
+| 0.0946        | 6     | 114  | 0.7590          | 0.25      | 1.2157        | 0.4219   | 0.3660   | 0.4219 | 0.0    | 0.4219 | 0.4219    |
+| 0.0946        | 7     | 133  | 0.7375          | 0.5       | 1.6726        | 0.4375   | 0.3263   | 0.4375 | 0.0    | 0.4375 | 0.4375    |
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.22.1

config.json

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+{
+  "_remove_final_layer_norm": false,
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "OPTForSequenceClassification"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "do_layer_norm_before": true,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "enable_bias": true,
+  "eos_token_id": 2,
+  "ffn_dim": 3072,
+  "hidden_size": 768,
+  "init_std": 0.02,
+  "layer_norm_elementwise_affine": true,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 2048,
+  "model_type": "opt",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "prefix": "</s>",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.0",
+  "use_cache": true,
+  "vocab_size": 50272,
+  "word_embed_proj_dim": 768
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b9fac6c11cd2a6ad99183b5910f055b7fbc9ffc5cd1780fbab3741536b294574
+size 500985832

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "</s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "</s>"
+}

training_args.bin

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+size 5905