End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: gpt2-medium
+tags:
+- generated_from_trainer
+model-index:
+- name: chessgpt-medium-s
+  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. -->
+
+# chessgpt-medium-s
+
+This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0974
+
+## 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: 0.0003
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9222        | 0.08  | 125  | 1.6441          |
+| 1.5847        | 0.16  | 250  | 1.4532          |
+| 1.4585        | 0.24  | 375  | 1.3629          |
+| 1.3801        | 0.32  | 500  | 1.3059          |
+| 1.3296        | 0.4   | 625  | 1.2550          |
+| 1.2856        | 0.48  | 750  | 1.2185          |
+| 1.2502        | 0.56  | 875  | 1.1902          |
+| 1.2231        | 0.64  | 1000 | 1.1635          |
+| 1.1978        | 0.72  | 1125 | 1.1451          |
+| 1.1823        | 0.8   | 1250 | 1.1242          |
+| 1.1688        | 0.88  | 1375 | 1.1113          |
+| 1.1544        | 0.96  | 1500 | 1.1008          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 0.99968,
+    "eval_loss": 1.097437858581543,
+    "eval_runtime": 230.0389,
+    "eval_samples": 12500,
+    "eval_samples_per_second": 54.339,
+    "eval_steps_per_second": 6.795,
+    "perplexity": 2.9964787778596422,
+    "total_flos": 6.457467788899123e+16,
+    "train_loss": 1.3367621437688184,
+    "train_runtime": 11215.3396,
+    "train_samples": 100000,
+    "train_samples_per_second": 8.916,
+    "train_steps_per_second": 0.139
+}

eval_results.json

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+{
+    "epoch": 0.99968,
+    "eval_loss": 1.097437858581543,
+    "eval_runtime": 230.0389,
+    "eval_samples": 12500,
+    "eval_samples_per_second": 54.339,
+    "eval_steps_per_second": 6.795,
+    "perplexity": 2.9964787778596422
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.44.2"
+}

runs/Sep05_16-42-05_154f73f5ff3a/events.out.tfevents.1725566134.154f73f5ff3a.2528.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1d89f8ca564d1ef480e5b54d43e564d2c6e7b4476457349947eb1cb94b60dd5b
+size 359

train_results.json

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+{
+    "epoch": 0.99968,
+    "total_flos": 6.457467788899123e+16,
+    "train_loss": 1.3367621437688184,
+    "train_runtime": 11215.3396,
+    "train_samples": 100000,
+    "train_samples_per_second": 8.916,
+    "train_steps_per_second": 0.139
+}