Instructions to use harsith05/imdbdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harsith05/imdbdata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harsith05/imdbdata")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harsith05/imdbdata") model = AutoModelForSequenceClassification.from_pretrained("harsith05/imdbdata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2, checkpoint
Browse files
last-checkpoint/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437958648
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f719df5c83666eec61603992db9030357dd727e75dcaa3d406c75539d8fa528b
|
| 3 |
size 437958648
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15132
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84d7a8fc17e0de59435c69efd2b65dd40bf467a3d067ba3c81aad134cbd9f092
|
| 3 |
size 15132
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:691b3b85e42c089d2bdb72309424d3454b990e0596c27b15f218b3f6e4c39e55
|
| 3 |
size 14244
|
last-checkpoint/scaler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 988
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c8243327b567e29221b3b0a60eae4c9072058f5c8b9c0d230403fabc381ad170
|
| 3 |
size 988
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3670c631aacd1a4f845efa5b330f928a1ce229840199ae317c17f3db16fde01e
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step":
|
| 3 |
-
"best_metric": 0.
|
| 4 |
-
"best_model_checkpoint": "./bert-imdb-cp\\checkpoint-
|
| 5 |
-
"epoch":
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -37,6 +37,35 @@
|
|
| 37 |
"eval_samples_per_second": 91.79,
|
| 38 |
"eval_steps_per_second": 5.739,
|
| 39 |
"step": 1563
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 40 |
}
|
| 41 |
],
|
| 42 |
"logging_steps": 500,
|
|
@@ -56,7 +85,7 @@
|
|
| 56 |
"attributes": {}
|
| 57 |
}
|
| 58 |
},
|
| 59 |
-
"total_flos":
|
| 60 |
"train_batch_size": 16,
|
| 61 |
"trial_name": null,
|
| 62 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_global_step": 3126,
|
| 3 |
+
"best_metric": 0.6253220438957214,
|
| 4 |
+
"best_model_checkpoint": "./bert-imdb-cp\\checkpoint-3126",
|
| 5 |
+
"epoch": 2.0,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 3126,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 37 |
"eval_samples_per_second": 91.79,
|
| 38 |
"eval_steps_per_second": 5.739,
|
| 39 |
"step": 1563
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.2795905310300704,
|
| 43 |
+
"grad_norm": 1.9906386137008667,
|
| 44 |
+
"learning_rate": 1.5901572112098428e-05,
|
| 45 |
+
"loss": 0.6446,
|
| 46 |
+
"step": 2000
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 1.599488163787588,
|
| 50 |
+
"grad_norm": 1.4003853797912598,
|
| 51 |
+
"learning_rate": 1.4534518113465483e-05,
|
| 52 |
+
"loss": 0.6391,
|
| 53 |
+
"step": 2500
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 1.9193857965451055,
|
| 57 |
+
"grad_norm": 1.166661024093628,
|
| 58 |
+
"learning_rate": 1.3167464114832538e-05,
|
| 59 |
+
"loss": 0.6377,
|
| 60 |
+
"step": 3000
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 2.0,
|
| 64 |
+
"eval_loss": 0.6253220438957214,
|
| 65 |
+
"eval_runtime": 288.1305,
|
| 66 |
+
"eval_samples_per_second": 86.766,
|
| 67 |
+
"eval_steps_per_second": 5.425,
|
| 68 |
+
"step": 3126
|
| 69 |
}
|
| 70 |
],
|
| 71 |
"logging_steps": 500,
|
|
|
|
| 85 |
"attributes": {}
|
| 86 |
}
|
| 87 |
},
|
| 88 |
+
"total_flos": 1.302353679597312e+16,
|
| 89 |
"train_batch_size": 16,
|
| 90 |
"trial_name": null,
|
| 91 |
"trial_params": null
|