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-m
+  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-m
+
+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: 0.9777
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6517        | 0.08  | 250  | 1.5222          |
+| 1.4486        | 0.16  | 500  | 1.3596          |
+| 1.3463        | 0.24  | 750  | 1.2706          |
+| 1.2623        | 0.32  | 1000 | 1.1986          |
+| 1.2115        | 0.4   | 1250 | 1.1483          |
+| 1.167         | 0.48  | 1500 | 1.1158          |
+| 1.1327        | 0.56  | 1750 | 1.0757          |
+| 1.1058        | 0.64  | 2000 | 1.0555          |
+| 1.0798        | 0.72  | 2250 | 1.0320          |
+| 1.0585        | 0.8   | 2500 | 1.0099          |
+| 1.0435        | 0.88  | 2750 | 0.9929          |
+| 1.0276        | 0.96  | 3000 | 0.9811          |
+
+
+### 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": 1.0,
+    "eval_loss": 0.9776549935340881,
+    "eval_runtime": 458.7571,
+    "eval_samples": 25000,
+    "eval_samples_per_second": 54.495,
+    "eval_steps_per_second": 6.812,
+    "perplexity": 2.658215395086949,
+    "total_flos": 1.2942285813252096e+17,
+    "train_loss": 1.2280796801757812,
+    "train_runtime": 22032.6461,
+    "train_samples": 200000,
+    "train_samples_per_second": 9.077,
+    "train_steps_per_second": 0.142
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 0.9776549935340881,
+    "eval_runtime": 458.7571,
+    "eval_samples": 25000,
+    "eval_samples_per_second": 54.495,
+    "eval_steps_per_second": 6.812,
+    "perplexity": 2.658215395086949
+}

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/Sep08_09-59-03_c126f53367b2/events.out.tfevents.1725812393.c126f53367b2.2690.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:49137e5ded65010794cc95c239c8a6a4147f3d71e0216619804088f541a35160
+size 359

train_results.json

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+{
+    "epoch": 1.0,
+    "total_flos": 1.2942285813252096e+17,
+    "train_loss": 1.2280796801757812,
+    "train_runtime": 22032.6461,
+    "train_samples": 200000,
+    "train_samples_per_second": 9.077,
+    "train_steps_per_second": 0.142
+}